This repository contains our 2nd Course Project on Computer Vision. In this project we have tried to implement both classical and modern approaches to semantic segmentation.For the classical approach we have used Support Vector Machine (SVM) and Random Forest.In modern approach we have used U-net and YOLO Model. We have used different type of datasets for different model.
- Random Forest was used on Aerial drone images.
- U-net was used on Nuclei dataset.
- YOLO Model was used for the COCO dataset.
- SVM on Aerial Drone Dataset.
- Random Forest on Aerial Drone Dataset
- U-net on Nuclei Dataset
- YOLO Model detection
