1 Dataset

Versions
2023-05-07 7:48am
v6
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a year ago
2023-05-06 10:32pm
v5
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2023-05-06 10:12pm
v4
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2023-05-06 10:10pm
v3
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a year ago
2023-05-06 5:45pm
v2
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a year ago
2023-05-06 5:27pm
v1
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a year ago
v1

2023-05-06 5:27pm

Generated on May 6, 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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3212 Total Images

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Dataset Split

Train Set 96%
3096Images
Valid Set %
0Images
Test Set 4%
116Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 5px
Mosaic: Applied