Dataset Versions

v18

2023-12-14 11:56am

Generated on Dec 14, 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 84%
1268Images
Valid Set 13%
191Images
Test Set 3%
50Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 0 remapped, 6 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -13° and +13°
Grayscale: Apply to 3% of images
Hue: Between -1° and +1°
Saturation: Between -3% and +3%
Brightness: Between -3% and +3%
Exposure: Between -2% and +2%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -13° and +13°
Bounding Box: Blur: Up to 0.25px

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