Dataset Versions

v42

2024-12-15 7:18pm

Generated on Dec 15, 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%
1365Images
Valid Set 8%
130Images
Test Set 4%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 4.9px
Noise: Up to 2% of pixels

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