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DGEN-segment-test

Instance Segmentation

DGEN-segment-test Image Dataset

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Versions
2023-05-07 2:14pm
v12
May 7, 2023
2023-05-07 2:08pm
v11
May 7, 2023
2023-05-07 1:52pm
v10
May 7, 2023
2023-05-07 12:26pm
v9
May 7, 2023
2023-05-07 1:48am
v8
May 7, 2023
2023-05-07 12:18am
v7
May 7, 2023
2023-05-06 11:38pm
v6
May 7, 2023
2023-05-06 6:13pm
v5
May 6, 2023
2023-05-06 5:57pm
v4
May 6, 2023
2023-05-06 5:28pm
v3
May 6, 2023
2023-05-06 4:25pm
v2
May 6, 2023
2023-05-06 3:08pm
v1
May 6, 2023
v5

2023-05-06 6:13pm

Generated on May 6, 2023
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57 Total Images

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Dataset Split

Train Set 84%
48Images
Valid Set 5%
3Images
Test Set 11%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 0.5px