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Kaggle Drone Object Detection Dataset
Overview
This dataset is specifically designed for training YOLO models to detect drones in various environments. It contains over 4,000 amateur drone pictures with annotations in YOLO format.
Key Features
- 4,000+ images with YOLO annotations
- Includes negative samples (images without drones)
- Various drone types and models
- Different backgrounds and environments
- Ready-to-use with YOLO architectures
Strengths
- Ready-to-use with YOLO architectures
- Good diversity of drone types
- Includes challenging scenarios
- Balanced positive and negative samples
Limitations
- Single class only (drone)
- Limited environmental diversity
- Amateur-quality imagery
- No temporal information
Source
Kaggle: https://www.kaggle.com/datasets/sshikamaru/drone-yolo-detection
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