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- # DOTA-COCO: Resized and Hugging Face-Ready Vision Dataset
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- DOTA-COCO is a restructured version of the DOTA (Dataset for Object Detection in Aerial Images), specifically designed to simplify object detection workflows. By resizing the original images and converting them to the COCO format, this project provides an easier way to use DOTA with popular computer vision frameworks. Additionally, the dataset is formatted for seamless integration with Hugging Face datasets, unlocking new possibilities for training and experimentation.
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  ## 🌟 Key Features
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  Resized Images: Reduced image dimensions for faster training and inference while maintaining key details.
 
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  path: data/test-*
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+ # DOTA: Resized and Hugging Face-Ready Vision Dataset
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+ DOTA is a restructured version of the DOTA (Dataset for Object Detection in Aerial Images), specifically designed to simplify object detection workflows. By resizing the original images and converting them to the COCO format, this project provides an easier way to use DOTA with popular computer vision frameworks. Additionally, the dataset is formatted for seamless integration with Hugging Face datasets, unlocking new possibilities for training and experimentation.
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  ## 🌟 Key Features
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  Resized Images: Reduced image dimensions for faster training and inference while maintaining key details.