BTS Dataset

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Versions
2023-02-28 12:45pm
v4
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a year ago
2023-02-23 7:49pm
v3
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a year ago
2023-02-13 12:44pm
v2
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a year ago
2023-02-13 12:21pm
v1
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a year ago
v3

2023-02-23 7:49pm

Generated on Feb 23, 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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64 Total Images

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Dataset Split

Train Set 84%
54Images
Valid Set 8%
5Images
Test Set 8%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -25% and +25%