Dataset Versions

v1

2024-09-15 1:30am

Generated on Sep 15, 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.
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Dataset Split

Train Set 88%
1536Images
Valid Set 8%
146Images
Test Set 4%
73Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -41° and +41°
Shear: ±34° Horizontal, ±29° Vertical
Brightness: Between -46% and +46%
Exposure: Between -23% and +23%
Blur: Up to 1.3px
Noise: Up to 0.38% of pixels
Mosaic: Applied

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