Dataset Versions

v14

2024-10-18 8:04pm

Generated on Oct 18, 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%
1596Images
Valid Set 8%
142Images
Test Set 4%
74Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 1.1px
Noise: Up to 0.82% of pixels
Bounding Box: Blur: Up to 2px

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