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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.
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