Dataset Versions

v3

2023-10-11 1:18pm

Generated on Oct 11, 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.
Other Formats
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Dataset Split

Train Set 88%
393Images
Valid Set 8%
38Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -35° and +35°
Shear: ±22° Horizontal, ±22° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 2% of pixels

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