Dataset Versions

v2

rrlights_436imgs_320imgsize

Generated on Apr 17, 2023

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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 86%
375Images
Valid Set 8%
37Images
Test Set 6%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -40% and +40%

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