Dataset Versions

v1

Prima versione marine litter copy_21-03-2022

Generated on Mar 21, 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%
5520Images
Valid Set 9%
572Images
Test Set 4%
263Images

Preprocessing

Resize: Stretch to 2000x2000

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Hue: Between -30° and +30°
Saturation: Between -50% and +50%
Brightness: Between -40% and +40%
Exposure: Between -16% and +16%