chandra-ps612 / Pothole_Detection_Model

Computer Vision and Deep Learning

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Pothole_Detection_Model

This particular colab notebook is for Pothole Detection based on Faster-RCNN Algorithm. Pothole dataset has two classes i.e. potholes and pothole. It has a total of 665 images.

Brief about Detectron2

Detectron2 is a PyTorch based system built by Facebook AI Research to support rapid implementation and evaluation of novel computer vision research.

List of Algorithms it supports

  1. Mask R-CNN
  2. Fast R-CNN
  3. Faster R-CNN
  4. RetinaNet
  5. RPN
  6. TensorMask
  7. PointRend
  8. DensePose

List of Computer Vision tasks it supports

  1. Object Detection
  2. Instance Segmentation
  3. Semantic Segmentation
  4. Pantropic Segmentation
  5. Keypoint Detection

About

Computer Vision and Deep Learning

License:Apache License 2.0


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Language:Jupyter Notebook 100.0%