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.

The Sweet Potato Quality Detection Dataset is a high-quality image dataset for object detection, aimed at improving the efficiency of sweet potato quality assessment.
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This dataset aims to provide high-quality corn seedling image data for object detection tasks.
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This dataset provides high-quality image data for tunnel and special scenarios traffic safety monitoring, aiming to support the training and application of object detection algorithms.
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This dataset provides high-quality images for detecting defects in slide rails and guide rails in industrial settings.
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Includes images of farmland floods under extreme weather such as heavy rains and flash floods, for AI model research on the impact of climate change on agriculture.
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This dataset provides high-quality image data for sleep monitoring devices, supporting target detection and image classification tasks.
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A dataset providing obstructed images of casual shoes to enhance recognition accuracy in e-commerce applications.
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A dataset designed for recognizing the usage areas of massage devices, including neck, back, legs, and feet.
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This dataset contains images of shoulder bags with various occlusions for enhanced object detection and classification tasks.
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A dataset focused on outdoor jackets, capturing the challenges of occlusions and reflections in retail e-commerce.
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This dataset is dedicated to promoting agricultural automation by recognizing the use of farm tools, thereby enhancing agricultural production efficiency.
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This dataset provides image classification support for grape destemming task status in the agricultural field.
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Raspberry variety classification dataset to support intelligent agriculture in raspberry variety recognition and classification research.
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This dataset is used for the automatic recognition and monitoring of highway traffic congestion.
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Jeans try-on effect image dataset, aimed at enhancing consumer online shopping experience.
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This dataset is used to identify the health status of poultry, aiding agricultural health monitoring and disease warning.
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This dataset is used to identify flowers and Rutaceae plants in gardens, aiding in agricultural and forestry management and research.
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The Grass Seed Recognition Classification Dataset provides a wealth of grass seed images, supporting the development of smart agriculture.
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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 facilitates the classification of different types of fans for enhanced e-commerce applications.
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