Doors Detection YOLO Dataset
Doors Detection YOLO Dataset
Datasets
Doors Detection YOLO Dataset
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Doors Detection YOLO Dataset
Use Case
Doors Detection YOLO Dataset
Description
Advance your real-time door detection models with our meticulously curated YOLO Doors Detection Dataset. Featuring high-quality images.
Description:
This dataset comprises 1,500 high-quality annotated images, specifically curated to enhance real-time door detection using YOLO (You Only Look Once) models. The dataset is meticulously split into three subsets: 85% for training, 10% for validation, and 5% for testing, ensuring an effective balance for model evaluation and fine-tuning.Each image has been carefully preprocessed for consistency and performance. Images have undergone auto-orientation correction, ensuring all doors are upright, and have been uniformly resized to 640×640 pixels, a resolution optimized for efficient model training while preserving essential details.
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Preprocessing and Augmentation The rigorous preprocessing phase ensures standardized dimensions. The augmentation process, including flips, rotations, crops, and grayscale applications, enhances dataset diversity and robustness.
Annotations Every image is meticulously annotated to include doors, doorways, and related structures, ensuring comprehensive data for model training. This dataset adheres to stringent quality and variety standards, providing a solid foundation for the evaluation and enhancement of real-time door detection models.
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