Dataset Versions

v6

2024-02-29 2:37pm

Generated on Feb 29, 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 98%
3072Images
Valid Set 2%
54Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x480
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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