EGH_450 Drone Detection Image Dataset
v3
Demo 13-09
Generated on Sep 11, 2022
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1054 Total Images
View All ImagesDataset Split
Train Set 88%
930Images
Valid Set 7%
77Images
Test Set 4%
47Images
Preprocessing
Auto-Orient: Applied
Static Crop: 24-75% Horizontal Region, 0-100% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±37° Horizontal, ±35° Vertical
Brightness: Between -32% and +32%
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