Discover certified, compliant, and secure datasets with clear ownership, transparent provenance, and built-in protections for training, fine-tuning, and deploying AI systems at scale.

This dataset is used to analyze the correlation between the color characteristics and maturity of strawberries to enhance agricultural intelligence.
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This dataset collects surface images of farmland under different seasons and drought levels for AI monitoring of surface environment changes.
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This dataset is used for identifying and classifying product images of children's shoes, supporting automated processing in the e-commerce industry.
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This dataset provides image classification data of manual wheelchairs to support intelligent applications in the field of medical assistance.
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Autumn and winter coats virtual try-on dataset to enhance online shopping experience, providing realistic try-on effects.
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This dataset provides high-quality images for monitoring and analyzing the stages of grass growth.
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The Grape Destemming Recognition Dataset aims to advance agricultural automation and improve destemming efficiency.
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This dataset focuses on the target detection of storage box buckle handles, aiming to improve the efficiency of e-commerce logistics management.
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This dataset provides a wealth of soil moisture cycle change image data, supporting agricultural monitoring and research.
MOBIUSI INCA dataset for detecting defects in crystal oscillators to enhance quality control in industrial applications.
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The Business Suit AI Fitting Dataset aims to enhance the consumer's online fitting experience by providing diverse suit image synthesis data.
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This is a target detection dataset for the classification of fence materials, assisting in agricultural monitoring and management.
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This dataset provides high-quality image data for road damage detection in the construction industry.
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A dataset designed for the detection of BGA solder ball misalignment in industrial applications.
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The Bean Leaf Detection Dataset provides high-quality annotated data for agricultural pest and disease detection.
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The Field Crop and Weed Segmentation Dataset is a high-quality semantic segmentation dataset designed to enhance agricultural management efficiency.
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This dataset focuses on hand keypoint detection in handheld thermometer scenarios, providing data support for smart healthcare.
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This dataset provides precise pixel-level segmentation annotations for crop pest monitoring, aiding the development of AI models.
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The durian plantation pest spider mite image dataset is used to improve pest detection and control efficiency.
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A dataset focused on images of apparel occluded by jackets to enhance recognition accuracy.
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