robot1 Computer Vision Model
1339 Total Images
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Dataset Split
Train Set 92%
1236Images
Valid Set 4%
52Images
Test Set 4%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -29% and +29%
Exposure: Between -19% and +19%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels