Dataset Versions

v1

2023-06-18 5:04pm

Generated on Jun 18, 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.
Other Formats
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Dataset Split

Train Set 89%
4596Images
Valid Set %
0Images
Test Set 11%
574Images

Preprocessing

Resize: Stretch to 40x40

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Hue: Between -35° and +35°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 15% of pixels

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