Dataset Versions

v1

2023-05-13 1:49pm

Generated on May 13, 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 92%
918Images
Valid Set 4%
40Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±28° Horizontal, ±29° Vertical
Blur: Up to 1.5px
Noise: Up to 3% of pixels
Cutout: 8 boxes with 3% size each

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