Dataset Versions

v1

2023-08-31 11:07pm

Generated on Aug 31, 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 85%
3752Images
Valid Set 11%
480Images
Test Set 4%
187Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 54% of images
Saturation: Between -61% and +61%
Brightness: Between -25% and +25%
Exposure: Between -16% and +16%