Dataset Versions

v1

2022-03-18 10:51pm

Generated on Mar 18, 2022

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 87%
66Images
Valid Set 9%
7Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -164° and +164°
Brightness: Between -41% and +41%
Blur: Up to 4px
Noise: Up to 9% of pixels
Cutout: 4 boxes with 10% size each
Bounding Box: Rotation: Between -15° and +15°

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