Dataset Versions

v3

2024-04-21 1:00pm

Generated on Apr 21, 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.
Other Formats
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Dataset Split

Train Set 91%
1527Images
Valid Set 9%
148Images
Test Set 1%
10Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 0.46% of pixels