All projects
Counting Machine Washer Parts
An industrial challenge to count highly occluded parts from imagery.
A computer-vision pipeline to count densely-packed, highly-occluded industrial washer parts.
- Benchmarked image-thresholding methods: Otsu thresholding, Gaussian filtering, Sobel filtering and Hough circle transforms.
- Extended density-map-based FamNet with a novel mismatch-loss component.
- Achieved 1.96 MAE (a 90% reduction from the image-processing baseline) on the challenge dataset.
Density EstimationFamNetObject Counting