Dataset Versions

v2

2024-01-15 6:25pm

Generated on Jan 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 94%
2283Images
Valid Set 3%
80Images
Test Set 2%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -41% and +41%
Exposure: Between -13% and +13%
Blur: Up to 2.6px
Noise: Up to 0.65% of pixels

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