[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$apiParty6fBuHLCPZ1LTYs42XHdVbjpSDOYYPYzyxeAGwSN5Tp8":3,"$apiParty3vvzbRUIv6nWb_7YopYoubg_rVQ7RLrBBIpFJsBhl2M":563,"$apiParty3vvzbRUIv6nWb_7YopYoubg_rVQ7RLrBBIpFJsBhl2M$H93EERW16b":563},{"product_data":4,"scene_data":21,"task_data":407,"modality_data":441,"domain_data":478},[5,9,12,15,18],{"name":6,"value":7,"add_value":8,"describe":8},"Rivo","1","",{"name":10,"value":11,"add_value":8,"describe":8},"Cubo","2",{"name":13,"value":14,"add_value":8,"describe":8},"Moye","3",{"name":16,"value":17,"add_value":8,"describe":8},"Juro","4",{"name":19,"value":20,"add_value":8,"describe":8},"Ordo","5",[22,73,135,197,232,267,302,337,372],{"name":23,"value":7,"add_value":24,"describe":25,"children":26},"Home & Indoor","sofa","AI enhances everyday home life. Our datasets cover real indoor scenes to support smart devices, robotics, and home intelligence.",[27,29,31,33,35,37,40,43,46,49,52,55,58,61,64,67,70],{"name":28,"value":7},"Living Room",{"name":30,"value":11},"Bedroom",{"name":32,"value":14},"Kitchen",{"name":34,"value":17},"Dining Area",{"name":36,"value":20},"Bathroom",{"name":38,"value":39},"Entrance \u002F Foyer","6",{"name":41,"value":42},"Corridor \u002F Hallway","7",{"name":44,"value":45},"Staircase","8",{"name":47,"value":48},"Home Office","9",{"name":50,"value":51},"Hobby \u002F Game Room","10",{"name":53,"value":54},"Worship Space","11",{"name":56,"value":57},"Garage","12",{"name":59,"value":60},"Utility \u002F Laundry Room","13",{"name":62,"value":63},"Pantry","14",{"name":65,"value":66},"Basement","15",{"name":68,"value":69},"Garden","16",{"name":71,"value":72},"Balcony","17",{"name":74,"value":11,"add_value":75,"describe":76,"children":77},"Office & Educational","workshop","AI is reshaping work and learning. Our datasets capture offices and classrooms to power automation and next-generation productivity tools.",[78,81,84,87,90,93,96,99,102,105,108,111,114,117,120,123,126,129,132],{"name":79,"value":80},"Open Office","18",{"name":82,"value":83},"Private Office","19",{"name":85,"value":86},"Co-working Space","20",{"name":88,"value":89},"Reception \u002F Lobby","21",{"name":91,"value":92},"Conference Room","22",{"name":94,"value":95},"Huddle Room \u002F Booth","23",{"name":97,"value":98},"Lecture Hall \u002F Auditorium","24",{"name":100,"value":101},"Classroom","25",{"name":103,"value":104},"Science Laboratory","26",{"name":106,"value":107},"Library","27",{"name":109,"value":110},"Design Studio","28",{"name":112,"value":113},"Pantry \u002F Breakroom","29",{"name":115,"value":116},"Cafeteria \u002F Canteen","30",{"name":118,"value":119},"Restroom (Commercial)","31",{"name":121,"value":122},"Gymnasium \u002F Sports Hall","32",{"name":124,"value":125},"Server Room","33",{"name":127,"value":128},"Mailroom \u002F Logistics","34",{"name":130,"value":131},"Janitorial Closet","35",{"name":133,"value":134},"Corridor \u002F Elevators","36",{"name":136,"value":14,"add_value":137,"describe":138,"children":139},"Healthcare & Medical","love-and-help","AI is advancing modern healthcare. Our datasets include clinics and hospitals to enable clinical insights and medical automation.",[140,143,146,149,152,155,158,161,164,167,170,173,176,179,182,185,188,191,194],{"name":141,"value":142},"Operating Theatre \u002F OR","37",{"name":144,"value":145},"Consultation Room","38",{"name":147,"value":148},"Treatment Room","39",{"name":150,"value":151},"Dental Clinic","40",{"name":153,"value":154},"Inpatient Ward","41",{"name":156,"value":157},"Nurse Station","42",{"name":159,"value":160},"ICU","43",{"name":162,"value":163},"NICU (Neonatal ICU)","44",{"name":165,"value":166},"Emergency Room (ER)","45",{"name":168,"value":169},"Hospital Corridor","46",{"name":171,"value":172},"Waiting Area","47",{"name":174,"value":175},"CT\u002FMRI","48",{"name":177,"value":178},"Medical Laboratory","49",{"name":180,"value":181},"Phlebotomy Room","50",{"name":183,"value":184},"Rehabilitation Gym","51",{"name":186,"value":187},"Assisted Living Room","52",{"name":189,"value":190},"Pharmacy","53",{"name":192,"value":193},"Sterile Processing Dept","54",{"name":195,"value":196},"Medical Storage","55",{"name":198,"value":17,"add_value":199,"describe":200,"children":201},"Business & Public Service","business","AI is elevating commercial and public services. Our datasets span retail, dining, and service centers to improve intelligent operations.",[202,205,208,211,214,217,220,223,226,229],{"name":203,"value":204},"Shopping Mall Atrium","86",{"name":206,"value":207},"Supermarket Shelf","87",{"name":209,"value":210},"Self-Checkout Counter","88",{"name":212,"value":213},"Restaurant Dining Hall","89",{"name":215,"value":216},"Commercial Kitchen","90",{"name":218,"value":219},"Hotel Lobby","91",{"name":221,"value":222},"Subway Platform","92",{"name":224,"value":225},"Security Checkpoint","93",{"name":227,"value":228},"Underground Parking","94",{"name":230,"value":231},"Bank Teller Zone","95",{"name":233,"value":20,"add_value":234,"describe":235,"children":236},"Industrial & Manufacturing","robot-arm","AI is modernizing industry. Our datasets capture factories and logistics spaces to support robotics and intelligent manufacturing.",[237,240,243,246,249,252,255,258,261,264],{"name":238,"value":239},"Final Assembly Line","96",{"name":241,"value":242},"Quality Control Station","97",{"name":244,"value":245},"Robotic Welding Cell","98",{"name":247,"value":248},"CNC Machining Center","99",{"name":250,"value":251},"Cleanroom","100",{"name":253,"value":254},"Automated Warehouse","101",{"name":256,"value":257},"Loading Dock","102",{"name":259,"value":260},"Sorting Center","103",{"name":262,"value":263},"Chemical Plant","104",{"name":265,"value":266},"Power Substation","105",{"name":268,"value":39,"add_value":269,"describe":270,"children":271},"Transportation & Driving","car","AI is revolutionizing mobility. Our datasets capture road networks, vehicle dynamics and traffic scenarios to support autonomous driving and intelligent transportation systems.",[272,275,278,281,284,287,290,293,296,299],{"name":273,"value":274},"Urban Intersection","56",{"name":276,"value":277},"Highway \u002F Expressway","57",{"name":279,"value":280},"Tunnel","58",{"name":282,"value":283},"Roundabout","59",{"name":285,"value":286},"School \u002F Hospital Zone","60",{"name":288,"value":289},"Toll Station","61",{"name":291,"value":292},"Construction Zone","62",{"name":294,"value":295},"Parking Garage","63",{"name":297,"value":298},"Driver Cabin","64",{"name":300,"value":301},"Adverse Weather","65",{"name":303,"value":42,"add_value":304,"describe":305,"children":306},"Outdoor & Construction","tent-tree","AI is optimizing outdoor operations. Our datasets capture construction sites, open-air work zones and outdoor infrastructure to support smart construction and autonomous outdoor machinery.",[307,310,313,316,319,322,325,328,331,334],{"name":308,"value":309},"Excavation Site","66",{"name":311,"value":312},"Scaffolding Area","67",{"name":314,"value":315},"Material Storage Yard","68",{"name":317,"value":318},"Site Entrance","69",{"name":320,"value":321},"Roadwork Zone","70",{"name":323,"value":324},"Bridge Infrastructure","71",{"name":326,"value":327},"Transmission Line","72",{"name":329,"value":330},"Open-pit Mine","73",{"name":332,"value":333},"Tunneling Site","74",{"name":335,"value":336},"Post-Disaster Rubble","75",{"name":338,"value":45,"add_value":339,"describe":340,"children":341},"Nature, Aerial & Aquatic","global-loop","AI is exploring the natural world. Our datasets capture terrestrial landscapes, aerial vistas and aquatic ecosystems to support environmental monitoring and autonomous exploration systems.",[342,345,348,351,354,357,360,363,366,369],{"name":343,"value":344},"Deep Forest","76",{"name":346,"value":347},"Farmland \u002F Crops","77",{"name":349,"value":350},"River \u002F Lake","78",{"name":352,"value":353},"Open Ocean","79",{"name":355,"value":356},"Underwater Coral Reef","80",{"name":358,"value":359},"Fish Farm","81",{"name":361,"value":362},"Mountain Terrain","82",{"name":364,"value":365},"Urban Low Altitude","83",{"name":367,"value":368},"Fire Scene","84",{"name":370,"value":371},"Desert \u002F Gobi","85",{"name":373,"value":48,"add_value":374,"describe":375,"children":376},"Virtul & Digital","siri","AI is reshaping the virtual realm. Our datasets capture digital twins, virtual environments and simulated spaces to support metaverse development and intelligent digital interaction.",[377,380,383,386,389,392,395,398,401,404],{"name":378,"value":379},"VR Social Space","106",{"name":381,"value":382},"Synthetic Driving Sim","107",{"name":384,"value":385},"Digital Twin City","108",{"name":387,"value":388},"FPS \u002F MOBA Game","109",{"name":390,"value":391},"Robotics Gym","110",{"name":393,"value":394},"AR Navigation","111",{"name":396,"value":397},"Virtual Showroom","112",{"name":399,"value":400},"Code \u002F IDE Interface","113",{"name":402,"value":403},"App GUI Screen","114",{"name":405,"value":406},"Synthetic Face\u002FID","115",[408,411,414,417,420,423,426,429,432,435,438],{"name":409,"value":7,"add_value":410,"describe":8},"Classification","rubric",{"name":412,"value":11,"add_value":413,"describe":8},"Detection","radar",{"name":415,"value":14,"add_value":416,"describe":8},"Segmentation","segmentation",{"name":418,"value":17,"add_value":419,"describe":8},"Tacking","crosshairs",{"name":421,"value":20,"add_value":422,"describe":8},"Estimation","streamline",{"name":424,"value":39,"add_value":425,"describe":8},"QA","qa",{"name":427,"value":42,"add_value":428,"describe":8},"Recognition","finger-scan",{"name":430,"value":45,"add_value":431,"describe":8},"Control","control",{"name":433,"value":48,"add_value":434,"describe":8},"Extraction","extraction",{"name":436,"value":51,"add_value":437,"describe":8},"Retrieval","retrieval",{"name":439,"value":54,"add_value":440,"describe":8},"Forecast","forecast",[442,445,448,451,454,457,460,463,466,469,472,475],{"name":443,"value":7,"add_value":444,"describe":8},"Audio","audio",{"name":446,"value":11,"add_value":447,"describe":8},"Image","image",{"name":449,"value":14,"add_value":450,"describe":8},"Text","text",{"name":452,"value":17,"add_value":453,"describe":8},"Video","video",{"name":455,"value":20,"add_value":456,"describe":8},"Multi","multi",{"name":458,"value":39,"add_value":459,"describe":8},"Document","document",{"name":461,"value":42,"add_value":462,"describe":8},"Time-Series","time-series",{"name":464,"value":45,"add_value":465,"describe":8},"3D cloud","cloud",{"name":467,"value":48,"add_value":468,"describe":8},"Code","code",{"name":470,"value":51,"add_value":471,"describe":8},"Event","event",{"name":473,"value":54,"add_value":474,"describe":8},"Motion","motion",{"name":476,"value":57,"add_value":477,"describe":8},"Interaction","interaction",[479,482,487,491,494,499,504,509,514,519,524,528,532,536,540,544,548,552,556,559],{"id":480,"value":480,"name":233,"intro":481,"add_value":234,"describe":481},2,"智能质检：利用图像识别、多模态模型对产品外观或声音、振动等数据进行分析，自动识别缺陷，提高质量控制效率。\n工业知识问答与文档理解：通过大模型理解和总结技术文档、操作手册，实现快速问答、知识检索和培训支持。\n安全监测与风险预警：实时分析视频、传感器和操作日志，识别潜在危险行为或异常状态，提前预警，保障人员和设备安全。",{"id":483,"value":483,"name":484,"intro":485,"add_value":486,"describe":485},3,"Finance & Insurance","风险评估与预测：分析大量客户数据，评估信用风险、市场风险等，预测违约概率、股价走势等，辅助金融机构决策。\n智能投顾：根据客户风险偏好、资产状况等，提供个性化投资组合建议，实时调整投资策略。\n反欺诈检测：通过分析交易数据、用户行为，识别异常交易和欺诈行为，保障金融安全。","funds",{"id":488,"value":488,"name":489,"intro":490,"add_value":269,"describe":490},1,"Transport & Automotive","智能座舱：打造多模态交互的 AI 座舱，通过语音、手势、面部识别等实现人机交互，如语音控制导航、音乐播放。\n驾驶员状态监测：识别疲劳、分心、抽烟、打电话等行为，通过大模型判断危险等级，触发相应提醒或干预机制。\n智能驾驶：AI 用于环境感知、路径规划与决策控制，使车辆能识别道路、行人、障碍物等，实现自适应巡航、自动泊车、车道保持等功能，提升驾驶安全性与便利性。",{"id":492,"value":492,"name":136,"intro":493,"add_value":137,"describe":493},4,"医学影像诊断：分析 CT、MRI 等影像，辅助医生检测疾病、识别病灶，如 AI 系统可快速发现肺部结节。\n医患对话助手：通过自然语言处理理解患者问题，提供初步健康建议或就诊指导，缓解医生接诊压力。\n智能健康管理：根据用户健康数据，提供个性化健康建议、疾病预警，如智能手环结合 AI 分析用户运动、睡眠、心率等数据。",{"id":495,"value":495,"name":496,"intro":497,"add_value":498,"describe":497},6,"Smart Devices","多模态交互：支持语音、手势、眼神等多种交互方式，如 AI 眼镜可通过语音指令实现翻译、搜索功能。\n智能感知与处理：使设备能感知环境、理解用户需求，如智能音箱根据环境噪音自动调节音量。\n个性化服务：根据用户使用习惯和偏好，提供个性化功能与服务，如智能手表为用户定制运动健身计划。","microscope",{"id":500,"value":500,"name":501,"intro":502,"add_value":503,"describe":502},8,"Law & Government","智能法律问答：面向公众或企业用户，提供合规、劳动法、婚姻继承、知识产权等常见法律问题的智能解答。\n合同审查与风险识别：利用大模型分析合同内容，识别潜在风险条款、漏洞或不合理约定，提升合同审核质量。\n法律知识图谱构建：自动梳理法规、案例、条文之间的引用关系，构建语义化知识图谱，支持智能分析和推理。","hammer",{"id":505,"value":505,"name":506,"intro":507,"add_value":508,"describe":507},7,"Education & Training","个性化学习：根据学生学习进度、能力和知识掌握情况，推送个性化学习内容与练习，如智能辅导系统为学生制定专属学习计划。\n智能教学辅助：AI 助教协助教师进行作业批改、答疑解惑，还可分析教学数据，为教师提供教学反馈，优化教学方法。\n虚拟学习环境：利用 AI 创建虚拟实验、历史场景等，让学生沉浸式学习，如在虚拟化学实验室中进行实验操作。","degree-hat",{"id":510,"value":510,"name":511,"intro":512,"add_value":513,"describe":512},5,"Agriculture & Food","作物病虫害识别与防治：通过图像识别分析农作物叶片、果实等症状，识别病虫害类型，给出防治建议，减少产量损失。\n农产品质量检测：利用图像和传感器数据，识别果蔬等农产品的成熟度、外观缺陷，进行自动分级，提高市场竞争力。\n农情监测与预测：利用卫星遥感、气象和传感器数据，结合大模型预测作物长势、干旱、洪涝等农情变化。","ph-farm",{"id":515,"value":515,"name":516,"intro":517,"add_value":518,"describe":517},9,"Retail & E-commerce","智能客服：通过自然语言对话理解用户需求，提供产品推荐、订单查询、退换货支持等服务，提升客户满意度。\n个性化营销推荐：基于用户浏览、购买、偏好等行为数据，生成个性化推荐内容与优惠策略，提高转化率和客单价。\n商品内容生成：自动撰写商品标题、卖点描述、使用说明等内容，适用于海量SKU的内容生产与多语言发布。","buy",{"id":520,"value":520,"name":521,"intro":522,"add_value":523,"describe":8},10,"Security & Protection",null,"safe-shield-line",{"id":525,"value":525,"name":526,"intro":522,"add_value":527,"describe":8},11,"Environment & Climate","weather",{"id":529,"value":529,"name":530,"intro":522,"add_value":531,"describe":8},12,"Energy & Resource","energy-leaf",{"id":533,"value":533,"name":534,"intro":522,"add_value":535,"describe":8},13,"Express & Logistics","speed-outline",{"id":537,"value":537,"name":538,"intro":522,"add_value":539,"describe":8},15,"Sports","baseball-outline",{"id":541,"value":541,"name":542,"intro":522,"add_value":543,"describe":8},16,"General Data","daily-booth",{"id":545,"value":545,"name":546,"intro":522,"add_value":547,"describe":8},17,"Content & Media","media",{"id":549,"value":549,"name":550,"intro":522,"add_value":551,"describe":8},18,"Construction","construction",{"id":553,"value":553,"name":554,"intro":522,"add_value":555,"describe":8},19,"IT & Telecom","tech",{"id":557,"value":557,"name":558,"intro":522,"add_value":498,"describe":8},20,"Science & Research",{"id":560,"value":560,"name":561,"intro":522,"add_value":562,"describe":8},21,"Language & Culture","lang",{"id":564,"unique_code":565,"title":566,"icon":8,"intro":567,"cate":480,"detail":568,"create_time":569,"update_time":570,"price":571,"view_count":572,"download_count":492,"unit":492,"amount":573,"is_create_order":574,"enterprise_id":488,"seo_keywords":575,"seo_description":576,"data_format":577,"file_size":578,"apply_scene":579,"training_task":580,"version":581,"dataset_type_id":574,"dataset_scene_id":541,"sample_file":582,"banner":8,"unit_name":583,"cate_name":446,"icon_url":8,"banner_url":584,"sample_file_url":8,"data_dict":585,"qa_list":641,"sample_metadatas":662,"text_sample_content":8,"enterprise_name":740,"enterprise_logo":741,"data_distribution":742},881,"aef09fa9c3213ed040fd14dfaea55bb9","Image Dataset for Quick Identification of Employee Cafeteria Dish Types","This image dataset aids in improving the accuracy and efficiency of recognizing dish types.","In the current catering management industry, quickly and accurately identifying and classifying dish types presents a significant challenge. Traditional manual recording and identification are inefficient and prone to human error. Existing automated recognition systems lack accuracy and diversity handling, making it difficult to adapt to complex changes in various environments. This dataset aims to improve the accuracy and generalization ability of image recognition models by providing a large number of high-quality dish images. The dataset is primarily collected in actual employee cafeteria environments and photographed using high-resolution camera equipment under standard lighting conditions. Quality control includes multiple rounds of annotation and consistency checks, conducted by a team of 20 people with food professional training. Data preprocessing includes image denoising, standardization, and enhancement techniques. All data is stored and organized in JPG format. The core advantages of the dataset include annotation accuracy and consistency as high as 95%, performance improvement of recognition models through innovative multi-view photography and data enhancement techniques, and a 15% error rate reduction compared to existing datasets. It helps to improve the efficiency of catering management systems, and its unique diversity features adapt to a wide range of use-case scenarios. The dataset is highly expandable and versatile, suitable for image recognition tasks in different fields.","2026-02-04 16:38:49","2026-10-19 17:19:15","0.00",704,500,0,"employee cafeteria dish recognition, image classification dataset, dish image recognition","Image dataset for quickly distinguishing cafeteria dish categories.","JPG","1.5G","catering management, image recognition, machine learning","image classification, computer vision, pattern recognition","V1.0","sample\u002F881\u002Fee799958defb8c8d3ad295836967cbdc.zip","records","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F779ea479550f717d06be2e82f7063a7f.jpg?Expires=1792483613&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=OmX5J4Z2eHfpix9ddb3DlRi5ndw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_500%2Ch_250",[586,591,594,599,604,609,614,619,625,631,636],{"id":574,"name":587,"field":588,"intro":589,"type":590},"File Name","file_name","File name","string",{"id":574,"name":592,"field":593,"intro":592,"type":590},"Resolution","quality",{"id":595,"name":596,"field":597,"intro":598,"type":590},6293,"Dish Category","dish_category","The category to which the dish shown in the image belongs.",{"id":600,"name":601,"field":602,"intro":603,"type":590},6294,"Dish Name","dish_name","The specific name of the dish in the image.",{"id":605,"name":606,"field":607,"intro":608,"type":590},6295,"Main Ingredient","main_ingredient","The primary ingredient of the dish in the image.",{"id":610,"name":611,"field":612,"intro":613,"type":590},6296,"Cuisine Type","cuisine_type","The type of cuisine to which the dish in the image belongs.",{"id":615,"name":616,"field":617,"intro":618,"type":590},6297,"Serving Temperature","serving_temperature","The recommended serving temperature of the dish, such as hot or cold.",{"id":620,"name":621,"field":622,"intro":623,"type":624},6298,"Vegetarian","vegetarian","Indicates whether the dish in the image is vegetarian.","boolean",{"id":626,"name":627,"field":628,"intro":629,"type":630},6299,"Spice Level","spice_level","The spice level of the dish, represented as an integer.","integer",{"id":632,"name":633,"field":634,"intro":635,"type":590},6300,"Presentation Style","presentation_style","The style and decoration of the dish presentation in the image.",{"id":637,"name":638,"field":639,"intro":640,"type":590},6301,"Color Palette","color_palette","The main color composition of the dish in the image.",[642,646,650,654,658],{"id":643,"question":644,"answer":645},4542,"What is the main purpose of this dataset?","The main purpose of the Employee Cafeteria Dish Type Quick Identification Image Dataset is to improve the accuracy and efficiency of dish type recognition.",{"id":647,"question":648,"answer":649},4543,"Which fields is this dataset suitable for?","This dataset is suitable for general daily image recognition needs, particularly in cafeterias and the catering industry.",{"id":651,"question":652,"answer":653},4544,"What problems can be solved using this dataset?","This dataset can effectively solve the problem of quickly identifying dish types in employee cafeterias, thereby improving order efficiency and customer satisfaction.",{"id":655,"question":656,"answer":657},4545,"Why choose image modality for data collection?","Image modality can intuitively capture the visual features of dishes, making type identification easier and more accurate.",{"id":659,"question":660,"answer":661},4546,"How does this dataset improve recognition efficiency?","By providing a large number of dish images, this dataset can support the training of machine learning models to quickly recognize new dish images.",[663,684,699,713,725],{"id":664,"relate_table":665,"relate_id":666,"file_size":667,"file_name":668,"path":669,"duration":574,"cate":480,"file_format":670,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":671,"annotation":672,"cate_name":673,"download_link":674,"path_thumb":675,"dish_name":676,"vegetarian":677,"spice_level":7,"cuisine_type":678,"color_palette":679,"dish_category":680,"main_ingredient":681,"presentation_style":682,"serving_temperature":683},12749,"metadata_picture",12788,565369,"779ea479550f717d06be2e82f7063a7f.jpg","manual_sorting_data\u002F20260202\u002F779ea479550f717d06be2e82f7063a7f.jpg","jpg","1920*2560","{\"dish_name\": \"Stir-fried Mixed Vegetables and Beef\", \"vegetarian\": \"No\", \"spice_level\": \"1\", \"cuisine_type\": \"Chinese Cuisine\", \"color_palette\": \"Green, Orange, Brown\", \"dish_category\": \"Hot Dishes\", \"main_ingredient\": \"Green Pepper, Carrot, Beef\", \"presentation_style\": \"Served in a large platter on buffet table\", \"serving_temperature\": \"Hot\"}","图片","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F779ea479550f717d06be2e82f7063a7f.jpg?Expires=1792409146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=u5QHZbvHdFfvdjtpmzID7xrAIGY%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F779ea479550f717d06be2e82f7063a7f.jpg?Expires=1792406146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=0w1mspMUy1XhbREsX0JHgtRUQCU%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Stir-fried Mixed Vegetables and Beef","No","Chinese Cuisine","Green, Orange, Brown","Hot Dishes","Green Pepper, Carrot, Beef","Served in a large platter on buffet table","Hot",{"id":685,"relate_table":665,"relate_id":686,"file_size":687,"file_name":688,"path":689,"duration":574,"cate":480,"file_format":670,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":671,"annotation":690,"cate_name":673,"download_link":691,"path_thumb":692,"dish_name":693,"vegetarian":677,"spice_level":11,"cuisine_type":694,"color_palette":695,"dish_category":696,"main_ingredient":697,"presentation_style":698,"serving_temperature":683},12748,12787,648754,"0bfe810bb0258b3f22d443a552d64c68.jpg","manual_sorting_data\u002F20260202\u002F0bfe810bb0258b3f22d443a552d64c68.jpg","{\"dish_name\": \"Potato Stew with Beef\", \"vegetarian\": \"No\", \"spice_level\": \"2\", \"cuisine_type\": \"Chinese\", \"color_palette\": \"Brown, Yellow, Red\", \"dish_category\": \"Main Course\", \"main_ingredient\": \"Beef, Potato\", \"presentation_style\": \"Family Style\", \"serving_temperature\": \"Hot\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F0bfe810bb0258b3f22d443a552d64c68.jpg?Expires=1792409146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=erh1pEX4deUgIxzgT1i145z1d1w%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F0bfe810bb0258b3f22d443a552d64c68.jpg?Expires=1792406146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=rleuyOxM%2FfmLQLV8J4CNjQx%2F7kM%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Potato Stew with Beef","Chinese","Brown, Yellow, Red","Main Course","Beef, Potato","Family Style",{"id":700,"relate_table":665,"relate_id":701,"file_size":702,"file_name":703,"path":704,"duration":574,"cate":480,"file_format":670,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":671,"annotation":705,"cate_name":673,"download_link":706,"path_thumb":707,"dish_name":708,"vegetarian":677,"spice_level":11,"cuisine_type":678,"color_palette":709,"dish_category":710,"main_ingredient":711,"presentation_style":712,"serving_temperature":683},12747,12786,676081,"0bf9ba4cfcc009a6b17998e5af61ae8c.jpg","manual_sorting_data\u002F20260202\u002F0bf9ba4cfcc009a6b17998e5af61ae8c.jpg","{\"dish_name\": \"Braised Pigeon Eggs\", \"vegetarian\": \"No\", \"spice_level\": \"2\", \"cuisine_type\": \"Chinese Cuisine\", \"color_palette\": \"Red, Beige\", \"dish_category\": \"Hot Dish\", \"main_ingredient\": \"Pigeon Eggs\", \"presentation_style\": \"Served in a Large Pot\", \"serving_temperature\": \"Hot\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F0bf9ba4cfcc009a6b17998e5af61ae8c.jpg?Expires=1792409146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=HL6wOXBQQK6A%2BB0f6IBunQ7Rgcw%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F0bf9ba4cfcc009a6b17998e5af61ae8c.jpg?Expires=1792406146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=Y1IsPlr02Kexw7puoGGchk7fH8Y%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Braised Pigeon Eggs","Red, Beige","Hot Dish","Pigeon Eggs","Served in a Large Pot",{"id":714,"relate_table":665,"relate_id":715,"file_size":716,"file_name":717,"path":718,"duration":574,"cate":480,"file_format":670,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":671,"annotation":719,"cate_name":673,"download_link":720,"path_thumb":721,"dish_name":722,"vegetarian":677,"spice_level":483,"cuisine_type":678,"color_palette":723,"dish_category":696,"main_ingredient":724,"presentation_style":698,"serving_temperature":683},12746,12785,759123,"a08f91502ecd29118a5b572eeb30fb0f.jpg","manual_sorting_data\u002F20260202\u002Fa08f91502ecd29118a5b572eeb30fb0f.jpg","{\"dish_name\": \"Braised Fish Chunks\", \"vegetarian\": \"No\", \"spice_level\": 3, \"cuisine_type\": \"Chinese Cuisine\", \"color_palette\": \"Brown, Red, and Green\", \"dish_category\": \"Main Course\", \"main_ingredient\": \"Fish\", \"presentation_style\": \"Family Style\", \"serving_temperature\": \"Hot\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002Fa08f91502ecd29118a5b572eeb30fb0f.jpg?Expires=1792409146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=6nHGT8nZrpNI3giXnPjoo2GlcGo%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002Fa08f91502ecd29118a5b572eeb30fb0f.jpg?Expires=1792406146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=3jOCnjQrOYr4k1QIOoQp5M37QvM%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Braised Fish Chunks","Brown, Red, and Green","Fish",{"id":726,"relate_table":665,"relate_id":727,"file_size":728,"file_name":729,"path":730,"duration":574,"cate":480,"file_format":670,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":731,"annotation":732,"cate_name":673,"download_link":733,"path_thumb":734,"dish_name":735,"vegetarian":736,"spice_level":11,"cuisine_type":694,"color_palette":737,"dish_category":678,"main_ingredient":738,"presentation_style":739,"serving_temperature":683},12745,12784,302720,"5b7e807b055898ed6d27c503acc6bf0e.jpg","manual_sorting_data\u002F20260202\u002F5b7e807b055898ed6d27c503acc6bf0e.jpg","1080*1406","{\"dish_name\": \"Various Stir-Fried Dishes\", \"vegetarian\": \"Partially Vegetarian\", \"spice_level\": \"2\", \"cuisine_type\": \"Chinese\", \"color_palette\": \"Green, Yellow, Red, Brown\", \"dish_category\": \"Chinese Cuisine\", \"main_ingredient\": \"Various Vegetables and Tofu\", \"presentation_style\": \"Buffet Style\", \"serving_temperature\": \"Hot\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F5b7e807b055898ed6d27c503acc6bf0e.jpg?Expires=1792409146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=AU3O%2BBxsIDq6%2BhfTxwVcb4%2FVjMk%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F5b7e807b055898ed6d27c503acc6bf0e.jpg?Expires=1792406146&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=Ilgz7qnUJyOtjaioVoHpFgjBWCY%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Various Stir-Fried Dishes","Partially Vegetarian","Green, Yellow, Red, Brown","Various Vegetables and Tofu","Buffet Style","MOBIUSI INC","https:\u002F\u002Fstatic.mobiusi.com\u002Fmobiwusi\u002F20250829\u002F7bf4ac62b4533e2b809998a6f1c5491e.png?Expires=1792463130&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=v6Tr8jBrdm4s5wU1SnnyGsYg%2Bhw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_35%2Ch_35",[743,751],{"type":744,"title":745,"count_data":746},"bar","Resolution distribution",[747,749],{"name":748,"value":492},"1080P",{"name":750,"value":480},"720P",{"type":752,"title":753,"count_data":754},"pie","File format distribution",[755],{"name":670,"value":495}]