Idan Kideckel

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pools

Instance Segmentation

pools Image Dataset

Try Pre-Trained Model
Versions
2023-06-01 2:08pm
v6
Jun 1, 2023
2023-06-01 12:18pm
v5
Jun 1, 2023
2023-01-16 10:25pm
v4
Jan 16, 2023
2023-01-15 4:42pm
v3
Jan 15, 2023
2023-01-05 3:29pm
v2
Jan 5, 2023
2023-01-05 2:47pm
v1
Jan 5, 2023
v6

2023-06-01 2:08pm

Generated on Jun 1, 2023
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845 Total Images

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Dataset Split

Train Set 81%
681Images
Valid Set 11%
89Images
Test Set 9%
75Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -79° and +79°
Noise: Up to 8% of pixels
Cutout: 10 boxes with 10% size each