Dataset Versions

v3

2022-07-12 3:59pm

Generated on Jul 12, 2022

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 88%
1281Images
Valid Set 8%
122Images
Test Set 4%
61Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±0° Vertical
Hue: Between -100° and +100°
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 10 boxes with 2% size each