Dataset Versions

v2

2023-02-11 4:16pm

Generated on Feb 12, 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.
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Dataset Split

Train Set 90%
798Images
Valid Set 7%
60Images
Test Set 3%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Shear: ±26° Horizontal, ±45° Vertical
Grayscale: Apply to 40% of images
Brightness: Between -30% and +30%
Blur: Up to 1.25px
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 8% of pixels

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