Dataset Versions

v1

2023-08-09 8:43am

Generated on Aug 9, 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 88%
135Images
Valid Set 8%
13Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -36% and +36%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Cutout: 10 boxes with 10% size each
Mosaic: Applied
Bounding Box: Rotation: Between -10° and +10°

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136 images 2 models