Dataset Versions

Versions
2023-02-03 10:45am
v10
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2 years ago
2023-02-03 9:11am
v9
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2 years ago
2023-02-02 9:43am
v8
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2 years ago
2023-02-02 9:20am
v7
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2 years ago
2023-02-01 3:39pm
v6
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2 years ago
2023-02-01 3:35pm
v5
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2 years ago
2023-02-01 3:31pm
v4
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2 years ago
2023-02-01 3:09pm
v3
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2 years ago
2023-02-01 11:32am
v2
·
2 years ago
2023-02-01 9:23am
v1
·
2 years ago
v2

2023-02-01 11:32am

Generated on Feb 1, 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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1527 Total Images

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Dataset Split

Train Set 87%
1335Images
Valid Set 8%
127Images
Test Set 4%
65Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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