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.

An image dataset for detecting crowding levels in elevator lobbies.
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Identify leaf rot disease in durian plantations through a high-quality image dataset.
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The Garden Powdery Mildew Identification Image Dataset is used to improve the accuracy of plant disease detection models.
MOBIUSI INCThe Gesture Recognition Video Dataset aims to enhance the accuracy and responsiveness of security protection systems.
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The Durian Plantation Disease Identification Leaf Spot Disease Image Dataset aims to improve the accuracy of plant disease identification.
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The open-pit mine boundary detection image dataset is used to improve the accuracy and efficiency of mine boundary identification.
MOBIUSI INCThis dataset contains high-definition videos for analyzing and optimizing watering operations.
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The Durian Plantation Disease Identification Blackhead Disease Image Dataset focuses on improving the accuracy of crop disease identification.
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The Bald Face Recognition Image Dataset focuses on improving the accuracy and security applications of bald face recognition.
MOBIUSI INCThis dataset records the full video of a desert convoy crossing, supporting environmental monitoring and autonomous driving research.
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The commercial kitchen hygiene violation detection image dataset is designed to enhance hygiene compliance inspections.
MOBIUSI INCThe hospital corridor personnel density estimation dataset is used to improve the accuracy of density estimation models.
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This dataset is used to detect the encroachment of roads by material stacking at construction sites.
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This dataset provides high-quality image data for road damage detection in the construction industry.
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High-quality image data for detecting yellow peach weevil pests in durian planting.
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The code generation benchmark dataset is a key resource for improving the accuracy of code generation models.
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The dataset for identifying pink disease in durian plantations is dedicated to improving the accuracy of disease detection.
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This dataset is used for detecting the wearing status of safety equipment for personnel within construction areas.
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This dataset is specifically constructed to enhance English speech recognition systems, covering general daily contexts.
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Durian plantation pest borer image dataset optimizes agricultural and forestry pest control.
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