Dataset Versions

v6

test_only

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.
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Dataset Split

Train Set 82%
489Images
Valid Set 5%
31Images
Test Set 13%
75Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -2° and +2°
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Cutout: 10 boxes with 1% size each

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