Dataset Versions

v1

2022-12-30 12:16pm

Generated on Dec 30, 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 84%
363Images
Valid Set 12%
50Images
Test Set 5%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.25px
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -23% and +23%

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