Dataset Versions

v3

2022-12-11 6:16pm

Generated on Dec 11, 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 96%
1329Images
Valid Set 3%
35Images
Test Set 1%
15Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±38° Horizontal, ±29° Vertical
Hue: Between -50° and +50°
Brightness: Between -43% and +43%
Exposure: Between -27% and +27%
Blur: Up to 3.5px
Noise: Up to 7% of pixels
Cutout: 5 boxes with 27% size each
Bounding Box: Brightness: Between -22% and +22%

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