Dataset Versions

v2

2024-11-07 9:07am

Generated on Nov 7, 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 90%
8682Images
Valid Set 6%
567Images
Test Set 4%
384Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 19% of images
Saturation: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 3.4px
Noise: Up to 0.81% of pixels