Dataset Versions

v1

2023-05-20 8:18pm

Generated on May 20, 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 90%
13842Images
Valid Set 9%
1358Images
Test Set 1%
193Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -32% and +32%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 3% of pixels

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