Dataset Versions

v1

2023-05-31 11:24am

Generated on May 31, 2023

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 87%
3456Images
Valid Set 8%
326Images
Test Set 4%
174Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Shear: ±4° Horizontal, ±4° Vertical
Saturation: Between -8% and +8%
Brightness: Between -13% and +13%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 3% of pixels