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2023-05-19 5:57pm
v15
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2 years ago
2023-05-19 5:52pm
v14
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2 years ago
2023-05-19 5:47pm
v13
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2 years ago
2023-05-18 5:28pm
v12
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2 years ago
2023-05-01 10:28pm
v11
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2 years ago
2023-05-01 3:51pm
v10
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2 years ago
2023-05-01 3:06pm
v8
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2 years ago
2023-04-30 2:08pm
v7
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2 years ago
2023-04-29 8:30pm
v6
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2 years ago
2023-04-29 3:55pm
v2
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2 years ago
2023-04-29 1:15am
v1
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2 years ago
v2

2023-04-29 3:55pm

Generated on Apr 29, 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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1945 Total Images

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Dataset Split

Train Set 87%
1701Images
Valid Set 8%
162Images
Test Set 4%
82Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±45° Horizontal, ±30° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
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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