Dataset Versions

v4

2023-07-17 4:21pm

Generated on Jul 17, 2023

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 89%
786Images
Valid Set 7%
61Images
Test Set 4%
34Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 160x230

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±8° Horizontal, ±20° Vertical
Saturation: Between -33% and +33%
Brightness: Between 0% and +0%
Exposure: Between -20% and +20%

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