Dataset Versions

v23

2024-10-01 2:05pm

Generated on Oct 1, 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
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Dataset Split

Train Set 92%
10065Images
Valid Set 7%
727Images
Test Set 2%
206Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.98% of pixels