Drones_only Image Dataset
v1
Augmented_Drone_Dataset
Generated on Aug 19, 2021
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3229 Total Images
View All Images
Dataset Split
Train Set 88%
2826Images
Valid Set 8%
268Images
Test Set 4%
135Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 20% of images
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 5% of pixels
Similar Projects
Dronecontenders
33889 images
Airplane
1500 images
airplanes-drones-trees-birds
10000 images
airplanes-drones-trees-birds
9900 images
airplanes-drones-trees-birds
9900 images