Dataset Versions

Versions
2023-04-21 10:19pm
v24
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2 years ago
2023-04-21 4:47pm
v23
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2 years ago
2023-04-20 3:38pm
v22
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2 years ago
2023-04-20 3:11pm
v21
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2 years ago
2023-04-20 6:43am
v20
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2 years ago
2023-04-19 2:59pm
v19
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2 years ago
2023-04-19 10:09am
v18
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2 years ago
2023-04-08 11:54pm
v17
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2 years ago
2023-04-08 1:56am
v16
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2 years ago
2023-04-06 8:29pm
v15
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2 years ago
2023-04-06 11:59am
v14
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2 years ago
2023-04-06 10:13am
v13
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2 years ago
2023-04-04 3:15pm
v12
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2 years ago
2023-04-04 1:55pm
v11
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2 years ago
2023-04-03 9:50am
v10
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2 years ago
2023-03-29 11:48pm
v8
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2 years ago
2023-03-29 4:14pm
v7
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2 years ago
2023-03-29 9:38am
v6
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2 years ago
2023-03-29 8:28am
v5
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2 years ago
2023-03-29 12:34am
v3
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2 years ago
2023-03-24 8:23am
v2
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2 years ago
2023-03-24 2:06am
v1
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2 years ago
v14

2023-04-06 11:59am

Generated on Apr 6, 2023
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1311 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 87%
1146Images
Valid Set 8%
109Images
Test Set 4%
56Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 20% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels
Mosaic: Applied

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