Dataset Versions

v3

2024-09-02 9:19pm

Generated on Sep 2, 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%
1626Images
Valid Set 8%
154Images
Test Set 4%
78Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Blur: Up to 0.7px
Noise: Up to 0.77% of pixels
Bounding Box: Rotation: Between -18° and +18°

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