Dataset Versions

v3

2024-11-05 5:48am

Generated on Nov 5, 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 93%
558Images
Valid Set 6%
36Images
Test Set 1%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

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 -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 1.45% of pixels