Dataset Versions

v4

optic_disc_ds_new

Generated on May 23, 2022

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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%
1899Images
Valid Set 8%
169Images
Test Set 2%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 700x700

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Hue: Between -34° and +34°
Brightness: Between 0% and +49%
Exposure: Between -7% and +7%
Blur: Up to 3.25px
Noise: Up to 9% of pixels

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