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However, current solutions for automated tray cleaning detection have limitations in recognition accuracy and real-time performance. Existing datasets are often limited to laboratory environments, lacking diversity in real usage scenarios. This dataset aims to enhance the recognition and adaptability of detection systems through rich image data. During data collection, we used high-resolution cameras to capture real tray images in various cafeteria environments to cover different lighting, angles, and types of tableware. Quality control ensures precision and reliability through multiple rounds of expert annotation and consistency review. The annotation team comprises image processing and machine learning experts. The data undergoes image enhancement and preprocessing steps, including normalization and segmentation, and is stored in a layered folder format as JPG files. This dataset is characterized by an annotation accuracy of over 95%, with consistency check results showing errors of less than 1%. The use of innovative hybrid augmentation techniques improves data diversity and generality, significantly enhancing the predictive accuracy of detection models. Compared to existing similar datasets, our data samples amount to 50,000, covering more real dining scenes, addressing the problem of insufficient generalization capability. For enhancing the accuracy of automated cleaning, it has important application value. Our dataset uniquely covers different lighting environments and weather effects, offering higher practicality and scalability.","2026-02-04 16:38:25","2026-10-19 16:30:29","0.00",743,500,0,"Cafeteria Tray Detection, Leftover Area Detection, Intelligent Dining Management Dataset","Image dataset to improve the automation detection accuracy of cafeteria cleaning.","JPG","1.2G","Automated Cleaning, Intelligent Detection, Dining Management","Image Classification, Object Detection, Semantic Segmentation","V1.0","sample\u002F878\u002Faef63f506485c537d27242d80ac72191.zip","records","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F87a08f404884a19cc950d205acb9ec95.jpg?Expires=1792445379&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=51iSoD4j6RDu5ffJnP2Hj2XKqis%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_500%2Ch_250",[586,591,594,599,604,609,614,619],{"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},6271,"Food Leftover Area","food_leftover_area","Description of the specific location of the food leftover area in the image.",{"id":600,"name":601,"field":602,"intro":603,"type":590},6272,"Plate Cleanliness","plate_cleanliness","Assessment of the cleanliness level of the plate surface.",{"id":605,"name":606,"field":607,"intro":608,"type":590},6273,"Food Type Identification","food_type_identification","The identification result of food types present on the plate.",{"id":610,"name":611,"field":612,"intro":613,"type":590},6274,"Utensil Presence","utensil_presence","Indication of the presence or absence of utensils in the image.",{"id":615,"name":616,"field":617,"intro":618,"type":590},6275,"Lighting Condition","lighting_condition","Description of the lighting condition when the image was taken.",{"id":620,"name":621,"field":622,"intro":623,"type":590},6276,"View Angle","view_angle","Description of the overhead or side viewing angle when the image was captured.",[625,629,633,637,641,645],{"id":626,"question":627,"answer":628},4526,"What is the main purpose of this dataset?","The primary purpose of the Canteen Tray Leftover Area Detection Image Dataset is to detect and analyze areas of food residue left on trays.",{"id":630,"question":631,"answer":632},4527,"Who would be interested in this dataset?","People involved in catering service research, artificial intelligence, and machine vision might be interested in this dataset.",{"id":634,"question":635,"answer":636},4528,"What is the quality of the images in the dataset?","The images in the dataset are of high quality, suitable for algorithm training and testing.",{"id":638,"question":639,"answer":640},4529,"Can this dataset be used for training machine learning models?","Yes, this dataset is very suitable for training machine learning models to detect leftover areas on canteen trays.",{"id":642,"question":643,"answer":644},4530,"Where do the images in this dataset come from?","The images primarily come from real canteen environments, capturing the state of trays under various conditions.",{"id":646,"question":647,"answer":648},4531,"How can the accuracy of models trained with this dataset be evaluated?","The accuracy can be evaluated through metrics such as model performance on the test set, detection accuracy, and recall.",[650,669,684,700,716],{"id":651,"relate_table":652,"relate_id":653,"file_size":654,"file_name":655,"path":656,"duration":574,"cate":480,"file_format":657,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":658,"annotation":659,"cate_name":660,"download_link":661,"path_thumb":662,"view_angle":663,"utensil_presence":664,"plate_cleanliness":665,"food_leftover_area":666,"lighting_condition":667,"food_type_identification":668},12740,"metadata_picture",12782,340135,"87a08f404884a19cc950d205acb9ec95.jpg","manual_sorting_data\u002F20260202\u002F87a08f404884a19cc950d205acb9ec95.jpg","jpg","1280*1706","{\"view_angle\": \"Shot from a top-down perspective.\", \"utensil_presence\": \"There are no utensils present in the image.\", \"plate_cleanliness\": \"The lower left stainless steel plate is relatively clean with a few oil stains. The upper left stainless steel plate is relatively clean with food residue. The right white plate has obvious food residue.\", \"food_leftover_area\": \"There are a few slices of potato, round meat chunks, and scallion segments in the upper left stainless steel plate. On the right white plate, there is a fried egg and scallion segments. In the lower left stainless steel plate, there are a few pieces of meat chunks and some oil stains.\", \"lighting_condition\": \"The lighting is even and the brightness is moderate.\", \"food_type_identification\": \"Potato, meat, fried egg, scallion segments\"}","图片","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F87a08f404884a19cc950d205acb9ec95.jpg?Expires=1792405214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=RwP01Z%2Bfb6o02XGZpBdYlxX5K9o%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F87a08f404884a19cc950d205acb9ec95.jpg?Expires=1792402214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=G8cpoYSb4N2fnCrwoBeEF4fJ3p8%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Shot from a top-down perspective.","There are no utensils present in the image.","The lower left stainless steel plate is relatively clean with a few oil stains. The upper left stainless steel plate is relatively clean with food residue. The right white plate has obvious food residue.","There are a few slices of potato, round meat chunks, and scallion segments in the upper left stainless steel plate. On the right white plate, there is a fried egg and scallion segments. In the lower left stainless steel plate, there are a few pieces of meat chunks and some oil stains.","The lighting is even and the brightness is moderate.","Potato, meat, fried egg, scallion segments",{"id":670,"relate_table":652,"relate_id":671,"file_size":672,"file_name":673,"path":674,"duration":574,"cate":480,"file_format":657,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":675,"annotation":676,"cate_name":660,"download_link":677,"path_thumb":678,"view_angle":679,"utensil_presence":680,"plate_cleanliness":681,"food_leftover_area":682,"lighting_condition":667,"food_type_identification":683},12739,12781,1934292,"663790316e0f6a98637fb627b95907d4.jpg","manual_sorting_data\u002F20260202\u002F663790316e0f6a98637fb627b95907d4.jpg","3024*4032","{\"view_angle\": \"The image is taken from a top-down view angle.\", \"utensil_presence\": \"Chopsticks and a spoon are visible in the image.\", \"plate_cleanliness\": \"The surface of the plate has visible stains and food residues, indicating low cleanliness.\", \"food_leftover_area\": \"There are obvious food leftovers on multiple plates in the image, including noodles in the bowl in front and meat dishes on the plate above.\", \"lighting_condition\": \"The lighting is even and the brightness is moderate.\", \"food_type_identification\": \"There are various foods on the plates, including noodles, meat, bread, fruits, and vegetables.\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F663790316e0f6a98637fb627b95907d4.jpg?Expires=1792405214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=%2F7q3%2Fg%2BUJb%2F7FSQNy5T4pCMuNhE%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F663790316e0f6a98637fb627b95907d4.jpg?Expires=1792402214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=8VKCcKLXLoO7MZ7JDMz0JvshitY%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","The image is taken from a top-down view angle.","Chopsticks and a spoon are visible in the image.","The surface of the plate has visible stains and food residues, indicating low cleanliness.","There are obvious food leftovers on multiple plates in the image, including noodles in the bowl in front and meat dishes on the plate above.","There are various foods on the plates, including noodles, meat, bread, fruits, and vegetables.",{"id":685,"relate_table":652,"relate_id":686,"file_size":687,"file_name":688,"path":689,"duration":574,"cate":480,"file_format":657,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":690,"annotation":691,"cate_name":660,"download_link":692,"path_thumb":693,"view_angle":694,"utensil_presence":695,"plate_cleanliness":696,"food_leftover_area":697,"lighting_condition":698,"food_type_identification":699},12738,12780,126639,"83de5ce4ca80e8eb2b0d16fd5811dfbf.jpg","manual_sorting_data\u002F20260202\u002F83de5ce4ca80e8eb2b0d16fd5811dfbf.jpg","1280*960","{\"view_angle\": \"Overhead angle shot.\", \"utensil_presence\": \"No utensils are present in the image.\", \"plate_cleanliness\": \"The surface of the plate is relatively clean, with only small amounts of food residue.\", \"food_leftover_area\": \"The left half of the plate has leftover rice and vegetables.\", \"lighting_condition\": \"Bright lighting, indoor natural light source.\", \"food_type_identification\": \"Rice and stir-fried dishes (possibly containing meat and leafy vegetables).\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F83de5ce4ca80e8eb2b0d16fd5811dfbf.jpg?Expires=1792405214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=2f%2BirSgV0HbI10v%2FiMt7XejygN8%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F83de5ce4ca80e8eb2b0d16fd5811dfbf.jpg?Expires=1792402214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=B1wOGHwg6SxKQ7KfSqHJPvAnfkk%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Overhead angle shot.","No utensils are present in the image.","The surface of the plate is relatively clean, with only small amounts of food residue.","The left half of the plate has leftover rice and vegetables.","Bright lighting, indoor natural light source.","Rice and stir-fried dishes (possibly containing meat and leafy vegetables).",{"id":701,"relate_table":652,"relate_id":702,"file_size":703,"file_name":704,"path":705,"duration":574,"cate":480,"file_format":657,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":706,"annotation":707,"cate_name":660,"download_link":708,"path_thumb":709,"view_angle":710,"utensil_presence":711,"plate_cleanliness":712,"food_leftover_area":713,"lighting_condition":714,"food_type_identification":715},12733,12775,89671,"33e20f7d50d8fafc5223066e10fcd46e.jpg","manual_sorting_data\u002F20260202\u002F33e20f7d50d8fafc5223066e10fcd46e.jpg","960*1280","{\"view_angle\": \"Photographed from a top-down angle.\", \"utensil_presence\": \"Chopsticks present, placed on the surface of the plate.\", \"plate_cleanliness\": \"The surface of the plate is relatively clean, but there are slight traces of food residues.\", \"food_leftover_area\": \"Food residues are mainly located in the center and edges of the plate, appearing in small chunks.\", \"lighting_condition\": \"Good lighting conditions, with even light.\", \"food_type_identification\": \"Residues of noodles and sauce.\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F33e20f7d50d8fafc5223066e10fcd46e.jpg?Expires=1792405214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=4%2B57sxm04l3cq9xDPLdzMwwA8j4%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002F33e20f7d50d8fafc5223066e10fcd46e.jpg?Expires=1792402214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=XqM0GpNLlHGVM2ERNhNKhw6mi40%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Photographed from a top-down angle.","Chopsticks present, placed on the surface of the plate.","The surface of the plate is relatively clean, but there are slight traces of food residues.","Food residues are mainly located in the center and edges of the plate, appearing in small chunks.","Good lighting conditions, with even light.","Residues of noodles and sauce.",{"id":717,"relate_table":652,"relate_id":718,"file_size":719,"file_name":720,"path":721,"duration":574,"cate":480,"file_format":657,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":722,"annotation":723,"cate_name":660,"download_link":724,"path_thumb":725,"view_angle":710,"utensil_presence":695,"plate_cleanliness":726,"food_leftover_area":727,"lighting_condition":728,"food_type_identification":729},12728,12770,2582282,"f868edb85537da07d843d1f2875a6337.jpg","manual_sorting_data\u002F20260202\u002Ff868edb85537da07d843d1f2875a6337.jpg","4284*5712","{\"view_angle\": \"Photographed from a top-down angle.\", \"utensil_presence\": \"No utensils are present in the image.\", \"plate_cleanliness\": \"Plate is clean, no visible stains.\", \"food_leftover_area\": \"No significant food leftovers, the plate is full of food.\", \"lighting_condition\": \"Adequate lighting, natural indoor light.\", \"food_type_identification\": \"The plate contains scrambled eggs, green peppers, tomatoes, meat, and other vegetables.\"}","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002Ff868edb85537da07d843d1f2875a6337.jpg?Expires=1792405214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=dXNG4LGuVfe%2FucqNgHdF71PjIII%3D","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002Ff868edb85537da07d843d1f2875a6337.jpg?Expires=1792402214&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=cmhglUz4wPMr2ehkSEUuahX3a9o%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_100%2Ch_100","Plate is clean, no visible stains.","No significant food leftovers, the plate is full of food.","Adequate lighting, natural indoor light.","The plate contains scrambled eggs, green peppers, tomatoes, meat, and other vegetables.","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",[733,745],{"type":734,"title":735,"count_data":736},"bar","Resolution distribution",[737,739,741,743],{"name":738,"value":480},"5K",{"name":740,"value":510},"4K",{"name":742,"value":483},"1080P",{"name":744,"value":492},"720P",{"type":746,"title":747,"count_data":748},"pie","File format distribution",[749],{"name":657,"value":750},14]