Dataset Versions

v4

3.9_10m

Generated on May 26, 2023

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 89%
5254Images
Valid Set 6%
328Images
Test Set 6%
328Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 403x269

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 3% of pixels