Dataset Versions

v1

2024-06-16 2:00pm

Generated on Jun 16, 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 87%
306Images
Valid Set 9%
30Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1024x576

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%

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