Easy-to-use finetuned YOLOv8 models.
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Updated
Feb 27, 2023 - HTML
Easy-to-use finetuned YOLOv8 models.
Road Damage Detection Based on Unsupervised Disparity Map Segmentation (T-ITS)
Helping navigate through maps to prefer road-way.
🥇 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.
Attention Aggregation Framework in PyTorch, ECCV Workshops 2020
Pothole Detection || Pothole Detection using python and deep learning
Pothole Detection using Image Segmentation by using a custom dataset with over 700+ images trained on Roboflow and predicting using the latest Ultralytics YOLOv8.
Backend code for a real-time pothole detection system sending location data to Firebase's Realtime Database.
Spothole Core Backend (Object Detection + Flask API) - Artificial Intelligence Powered Pothole Detection, Reporting and Management Solution
Pothole detection using image processing scheme
This is our idea submission for the Nvidia hack in AI hack 2022.
The Model will detect whether the image consists of potholes or not. If the image consists of pothole then it will detect the total number of potholes in the image as well as it will assign them a level.
Spothole (Authority App) - Artificial Intelligence Powered Pothole Detection, Reporting and Management Solution
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…
This is a pothole detection detection system created using Image Classification by Convolutional Neural Networks.
Integrated real-time data analytics for optimized public transport, innovative road monitoring using demand prediction, and conditioning tech for sustainability, real time pothole detection either by image or video, smart parking count system for efficiency using AI/ML.
CS512-Computer vision assignments and project
A mobile application made in Flutter that is capable of detecting potholes in real-time and alerting the driver to avoid any accidents caused by potholes. The app also estimates approx dimensions of the pothole to measure the severity may caused upon accident.
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