Dataset Versions

v1

New set

Generated on Feb 16, 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 87%
246Images
Valid Set 9%
24Images
Test Set 4%
12Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Saturation: Between -47% and +47%
Brightness: Between -40% and +40%
Blur: Up to 7.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each