
The Pharmacy Prescription Text Extraction Dataset focuses on extracting and recognizing text data from medical prescription images.
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This dataset is used to monitor the congestion of subway carriages, assisting public transportation management and research.
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A specialized dataset for sealing gasket detection to enhance quality control and prevent leaks in industrial settings.
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The Nursing Procedure Workflow Dataset aims to enhance nursing quality and training effectiveness.
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This dataset focuses on seedling recognition, aiming to enhance the automation and accuracy of agricultural monitoring.
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This dataset focuses on image classification of cabbage disease spots, providing high-quality image resources to support agricultural disease detection research.
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This dataset focuses on tomato fruit counting to aid the development of smart agriculture.
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The Assembly Line Parts Defect Visual Inspection Dataset provides high-precision industrial images to enhance the defect detection capabilities of production lines.
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The open-pit mine boundary detection image dataset is used to improve the accuracy and efficiency of mine boundary identification.
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This dataset is for target detection of irrigation machinery to aid the development of smart agriculture.
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This dataset focuses on the image classification of nighttime accident scenes, aiding in traffic safety monitoring and analysis.
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This dataset provides rich data support for toner image classification, aiding the e-commerce industry in enhancing product recognition capabilities.
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The Juicer Lid Lock Area Detection Dataset aims to enhance product safety and user experience through efficient object detection technology.
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This dataset focuses on the classification of weed species, aiding the development of precision agriculture.
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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 is used to identify the material stacking situation at construction sites to improve site management and safety.
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This is a target detection dataset focused on bus accident scenarios, aimed at improving the efficiency of traffic safety research.
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This dataset is used to detect the status of forklift loading/unloading operations, enhancing work efficiency and safety in the express logistics industry.
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A dataset for identifying whether the intake manifold is correctly connected.
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This dataset focuses on the detection of wiper arm efficiency and external damage.
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