Dataset Versions

v2

2024-06-30 2:12am

Generated on Jun 30, 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%
5499Images
Valid Set 12%
781Images
Test Set %
0Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 0.38% of pixels

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