silveroupti/VisDrone

--- license: cc-by-4.0 task_categories: - object-detection language: - en tags: - YOLO pretty_name: VisDrone YOLO format size_categories: - 1K<n<10K --- # VisDrone Dataset (YOLO Format) ## Overview This repository contains the VisDrone dataset converted into the YOLO (You Only Look Once) format. The VisDrone dataset is a large-scale benchmark for object detection, segmentation, and tracking in drone videos. The dataset includes a variety of challenging scenarios with diverse objects and backgrounds. ## Dataset Details - **Classes**: - 0: pedestrian - 1: people - 2: bicycle - 3: car - 4: van - 5: truck - 6: tricycle - 7: awning-tricycle - 8: bus - 9: motor - 10: others ## Dataset Structure The dataset is organized as follows inside the ZIP file: - **images/**: Contains the image files for training, validation, and testing. - **train/**: Training images. - **val/**: Validation images. - **test-dev/**: Test images for development. - **test-challenge/**: Test images for the challenge (no labels). - **labels/**: Contains the corresponding label files in YOLO format. - **train/**: Labels for training images. - **val/**: Labels for validation images. - **data.yaml**: Configuration file, specifying paths to images and labels, and class names.