Udine University

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new theater

Instance Segmentation

new theater Image Dataset

Versions
2024-02-06 4:40pm
v4
Feb 6, 2024
2024-02-01 10:41pm
v3
Feb 1, 2024
2024-02-01 4:07pm
v2
Feb 1, 2024
2024-02-01 12:54pm
v1
Feb 1, 2024
v4

2024-02-06 4:40pm

Generated on Feb 6, 2024
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185 Total Images

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Dataset Split

Train Set 68%
126Images
Valid Set 10%
19Images
Test Set 22%
40Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.1% of pixels