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Inventory of Steel rods

Object Detection

Inventory of Steel rods Image Dataset

Try Pre-Trained Model
Versions
2023-12-21 12:06pm
v20
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6 months ago
2023-06-14 11:38pm
v19
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a year ago
2023-06-06 4:41pm
v18
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a year ago
2023-06-05 6:39pm
v17
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a year ago
2023-06-03 5:12pm
v15
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a year ago
2023-06-03 3:55pm
v14
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a year ago
2023-06-03 3:47pm
v13
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a year ago
2023-06-03 3:40pm
v12
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a year ago
2023-06-03 2:41pm
v11
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a year ago
2023-06-03 2:15pm
v10
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a year ago
2023-06-03 11:37am
v9
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a year ago
2023-06-03 7:08am
v7
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a year ago
2023-06-03 12:11am
v6
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a year ago
2023-06-02 10:53pm
v5
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a year ago
2023-06-02 7:30pm
v4
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a year ago
2023-06-02 7:00pm
v3
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a year ago
v7

2023-06-03 7:08am

Generated on Jun 3, 2023
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2183 Total Images

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Dataset Split

Train Set 88%
1911Images
Valid Set 8%
183Images
Test Set 4%
89Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 0 remapped, 6 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Mosaic: Applied