Dataset Versions

v1

2023-01-25 5:14pm

Generated on Jan 25, 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%
519Images
Valid Set 7%
44Images
Test Set 4%
26Images

Preprocessing

Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -42° and +42°
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 5.75px

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