ERLMVP

GNN_YOLO

Object Detection

GNN_YOLO Image Dataset

v4

2022-10-11 7:44pm

Generated on Oct 12, 2022

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Dataset Split

Train Set 92%
444Images
Valid Set 4%
20Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 16 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Brightness: Between -9% and +9%
Exposure: Between -8% and +8%
Noise: Up to 2% of pixels