Dataset Versions
v1
2024-02-27 10:08am
Generated on Feb 27, 2024
58 Total Images
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Dataset Split
Train Set 88%
51Images
Valid Set 7%
4Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: segmentation-floor
Resize: Stretch to 1920x1080
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -32° and +32°
Shear: ±45° Horizontal, ±45° Vertical
Noise: Up to 0.1% of pixels
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical