Dataset Versions

v3

2023-10-15 4:47pm

Generated on Oct 15, 2023

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%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1040x1040

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Noise: Up to 5% of pixels
Cutout: 10 boxes with 3% size each

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