Dataset Versions

v2

2023-04-20 7:19am

Generated on Apr 19, 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 87%
4980Images
Valid Set 8%
472Images
Test Set 4%
243Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -7° and +7°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 2% of pixels

Similar Projects

See More
4.8k images 4 models