Dataset Versions
v2
final_data_aug
Generated on May 24, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
575 Total Images
View All Images
Dataset Split
Train Set 87%
501Images
Valid Set 8%
48Images
Test Set 5%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±30° Vertical
Grayscale: Apply to 65% of images
Brightness: Between -58% and +58%
Exposure: Between -55% and +55%
Blur: Up to 3px
Noise: Up to 25% of pixels
Cutout: 10 boxes with 25% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 30% Maximum Zoom
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 3.5px
Bounding Box: Noise: Up to 25% of pixels