Dataset Versions

v3

2023-03-08 12:43am

Generated on Mar 7, 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 91%
1482Images
Valid Set 8%
124Images
Test Set 2%
29Images

Preprocessing

Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 3% of images
Hue: Between -7° and +7°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -8% and +8%
Blur: Up to 1.25px
Mosaic: Applied

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