Stirrer Dataset

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Versions
2022-03-31 11:22am
v6
·
2 years ago
Stirrer 2022-03-24 3:07pm
v5
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2 years ago
2022-03-18 8:14pm
v4
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2 years ago
2022-03-17 11:31am
v3
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2 years ago
2022-03-17 10:18am
v2
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2 years ago
2022-03-09 11:38am
v1
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2 years ago
v5

Stirrer 2022-03-24 3:07pm

Generated on Mar 24, 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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821 Total Images

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Dataset Split

Train Set 92%
758Images
Valid Set %
0Images
Test Set 8%
63Images

Preprocessing

Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 10px