Dataset Versions

v13

03

Generated on Jul 24, 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 92%
1797Images
Valid Set %
0Images
Test Set 8%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.81% of pixels

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