Anton Voitenko

Wash labels

Object Detection

Wash labels Image Dataset

v4

2022-03-27 2:22am

Generated on Mar 26, 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 84%
411Images
Valid Set 10%
51Images
Test Set 5%
26Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-65% Horizontal Region, 59-81% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 54% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
PGU
WashingLablesTestingNewDataSet
80 images
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care-label-2GJD
245 images
fyp
care-label-J4xq
414 images