Dataset Versions

v2

2022-12-10 12:17pm

Generated on Dec 10, 2022

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 92%
96Images
Valid Set 8%
8Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±2° Horizontal, ±27° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -59% and +59%
Exposure: Between -9% and +9%
Noise: Up to 5% of pixels

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