CS512-Computer vision assignments and project
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Updated
Apr 16, 2019 - HTML
CS512-Computer vision assignments and project
A pothole detection DL algorithm using Yolo v2 and Tensorflow
Pothole detection using image processing scheme
Backend code for a real-time pothole detection system sending location data to Firebase's Realtime Database.
Spothole (Authority App) - Artificial Intelligence Powered Pothole Detection, Reporting and Management Solution
Road Damage Detection Based on Unsupervised Disparity Map Segmentation (T-ITS)
Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base
Road transport is the most widely used means of transportation around the world. With this high use of road transport, the safety of travellers’ becomes the prime concern for any governing authority. While some safety concerns arise from driver errors and environmental factors, most cases are a result of poor maintenance of these roads. Potholes…
Attention Aggregation Framework in PyTorch, ECCV Workshops 2020
This is a pothole detection detection system created using Image Classification by Convolutional Neural Networks.
Pothole Detection using Faster-RCNN and YOLO v3
Helping navigate through maps to prefer road-way.
This is our idea submission for the Nvidia hack in AI hack 2022.
🥇 1st place winner | Bump.IT - Pothole detection and mapping. Using data science methods of analysis, mobile phone's telemetry, computer vision, and, deployed through Azure.
Build a computer vision-based technology to process and detect the potholes present in an image.
Поиск выбоин на дорогах с использованием YOLOv8 Nano
Easy-to-use finetuned YOLOv8 models.
Spothole Core Backend (Object Detection + Flask API) - Artificial Intelligence Powered Pothole Detection, Reporting and Management Solution
Pothole detection using python OpenCV on GUI based Console
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