Dataset Versions

v4

underwater

Generated on Aug 2, 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 87%
1710Images
Valid Set 8%
158Images
Test Set 5%
89Images

Preprocessing

Isolate Objects: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -83% and +83%
Blur: Up to 1px
Noise: Up to 6% of pixels
Mosaic: Applied
Bounding Box: Exposure: Between -46% and +46%

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