Dataset Versions

v2

2022-12-20 4:45pm

Generated on Dec 20, 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 70%
2612Images
Valid Set 20%
748Images
Test Set 10%
380Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 1
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 5% of pixels

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