Pothole Detection System using reusable libraries

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by sarvan dot icon Updated: Sep 1, 2021

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Potholes are formed on roads due to wear and tear or weathering of roads. They cause discomforts to commuters and deaths due to vehicle accidents. There are numerous use cases to detect a pothole. Cameras installed on vehicles can see potholes on roads in real-time and help drivers to avoid them. The steps for building a pothole detection system are as follows: 1. Data acquisition and preparation 2. Model training and evaluation 3. Model deployment for real-time detection Some of the libraries can help you create applications to reduce accidents and discomforts by detecting potholes.

Data acquisition and preparation

VoTTby microsoft

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Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

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            VoTTby microsoft

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            Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
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                      Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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                                detectron2by facebookresearch

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                                Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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                                          maskrcnn-benchmarkby facebookresearch

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                                          Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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                                                    maskrcnn-benchmarkby facebookresearch

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                                                    Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
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                                                              detrby facebookresearch

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                                                              End-to-End Object Detection with Transformers

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                                                                        End-to-End Object Detection with Transformers
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                                                                                  CenterNetby xingyizhou

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                                                                                  Object detection, 3D detection, and pose estimation using center point detection:

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                                                                                            CenterNetby xingyizhou

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                                                                                            Object detection, 3D detection, and pose estimation using center point detection:
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                                                                                                                Computer vision based ML training data generation tool :rocket:
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                                                                                                                                    Label images and video for Computer Vision applications
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                                                                                                                                              Model deployment for realtime detection

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                                                                                                                                                                                                                                                                      Model training and evaluation

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                                                                                                                                                                                                                                                                      How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

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                                                                                                                                                                                                                                                                                How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
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                                                                                                                                                                                                                                                                                                                                            🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
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                                                                                                                                                                                                                                                                                                                                                      A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

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                                                                                                                                                                                                                                                                                                                                                                TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Piby EdjeElectronics

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                                                                                                                                                                                                                                                                                                                                                                A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
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