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technology is constrained by the low efficiency and accuracy of traditional manual recognition, especially in the judgment of fruit ripeness. Existing solutions often rely on manual experience and lack systematic standards. This dataset aims to provide high-quality strawberry ripeness image data to support the effective training and application of AI models in fruit ripeness detection tasks. The dataset includes strawberry images taken under different lighting and environmental conditions, collected using professional cameras in a greenhouse environment to ensure the images are clear and representative. In terms of quality control, we implemented multiple rounds of annotation and consistency checks and invited agricultural experts to review, ensuring the accuracy and reliability of the data. The data is stored in JPG format and organized by maturity stages for easy subsequent processing and analysis.","2025-09-15 12:39:04","2026-10-19 18:52:09","0.00",646,5000,0,"Strawberry Ripeness Detection, Object Detection Dataset, Agricultural AI, Intelligent Picking","Strawberry ripeness detection dataset supports the application of AI models in agricultural intelligent picking and grading.","JPG\u002FPNG\u002FJSON","1.2G","Intelligent Picking, Grading Detection, Agricultural Automation","Object Detection, Image Classification","V1.0","sample\u002F393\u002F156582e7b7bee8c77786cb67c4fa4042.zip","records","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20250911\u002F7c5f9988fb8c6e0360a327c2ea7396b7.jpg?Expires=1792461516&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=Bt4gAf3%2F8QYi7hSPoFKbB9VD8vo%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_500%2Ch_250",[586,591,594,599,605,611,616,621],{"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},3396,"Strawberry Color","strawberry_color","Represents the overall color of the strawberry, used to assess ripeness.",{"id":600,"name":601,"field":602,"intro":603,"type":604},3397,"Spot Presence","spot_presence","Indicates whether there are spots on the surface of the strawberry, potentially affecting ripeness assessment.","boolean",{"id":606,"name":607,"field":608,"intro":609,"type":610},3398,"Shape Uniformity","shape_uniformity","Quantifies the uniformity of the strawberry's shape, generally related to its ripeness.","float",{"id":612,"name":613,"field":614,"intro":615,"type":610},3399,"Size","size","Measures the size of the strawberry, typically based on diameter or length.",{"id":617,"name":618,"field":619,"intro":620,"type":590},3400,"Surface Texture","surface_texture","Describes the roughness or smoothness of the strawberry's surface texture.",{"id":622,"name":623,"field":624,"intro":625,"type":604},3401,"Bruising","bruising","Indicates whether the strawberry has bruising, potentially affecting its quality and grade.",[627,631,635,639,643],{"id":628,"question":629,"answer":630},2318,"What is the main purpose of the Strawberry Maturity Detection Dataset?","The main purpose of the Strawberry Maturity Detection Dataset is to develop AI systems that automatically determine strawberry maturity, thereby promoting the advancement of intelligent harvesting and grading technologies.",{"id":632,"question":633,"answer":634},2319,"How does this dataset assist the agriculture industry?","This dataset assists the agriculture industry by automating the detection of strawberry maturity, optimizing harvesting processes, improving labor efficiency, and reducing labor costs.",{"id":636,"question":637,"answer":638},2320,"What data modalities does the Strawberry Maturity Detection Dataset include?","The 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