Dataset Versions

v5

2024-07-19 9:42pm

Generated on Jul 19, 2024

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 82%
11306Images
Valid Set 11%
1549Images
Test Set 6%
863Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Hue: Between -27° and +27°
Brightness: Between -50% and +50%
Exposure: Between -13% and +13%
Blur: Up to 1.9px
Noise: Up to 4.58% of pixels
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Shear: ±6° Horizontal, ±8° Vertical

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