Dataset Versions

v2

2023-02-10 5:16pm

Generated on Feb 10, 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 89%
933Images
Valid Set 7%
69Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -40° and +40°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Blur: Up to 7.25px

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