Dataset Versions

v4

2022-09-04 3:44pm

Generated on Sep 4, 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 88%
2574Images
Valid Set 8%
240Images
Test Set 4%
127Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -30° and +30°
Saturation: Between -50% and +50%
Brightness: Between -37% and +37%
Exposure: Between -16% and +16%
Blur: Up to 3px
Noise: Up to 11% of pixels
Cutout: 5 boxes with 7% size each

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