Dataset Versions

v2

2022-06-11 9:18pm

Generated on Jun 12, 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%
4671Images
Valid Set 9%
477Images
Test Set 3%
180Images

Preprocessing

Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between 0% and +25%

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