Dataset Versions

v26

YOLOv11

Generated on Nov 9, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.

Dataset Split

Train Set 88%
14006Images
Valid Set 6%
988Images
Test Set 6%
987Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1512x1612
Modify Classes: 5 remapped, 6 dropped

Augmentations

Outputs per training example: 2
Hue: Between -24° and +24°
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.87% of pixels