Dataset Versions

v15

2024-08-28 7:08am

Generated on Aug 28, 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.
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Dataset Split

Train Set 88%
1614Images
Valid Set 7%
137Images
Test Set 5%
93Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-76% Horizontal Region, 27-73% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Saturation: Between -18% and +18%
Blur: Up to 2.4px
Noise: Up to 1.32% of pixels
Cutout: 2 boxes with 25% size each
Bounding Box: Shear: ±1° Horizontal, ±1° Vertical