Segmentation Mask RCNN Computer Vision Model
Versions
720 Total Images
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Dataset Split
Train Set 88%
630Images
Valid Set 8%
60Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -50% and +50%