Dataset Versions

v1

As4V01-2022-03-09 2:45pm

Generated on Mar 9, 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 87%
3444Images
Valid Set 9%
336Images
Test Set 4%
168Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x960
Tile: 3 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -10% and +10%

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