kirilcvetkov92 / Vehicle-DetectionLinks
Vehicle detection implemented with you Only Look Once. It's an object detector that uses features learned by a deep convolutional neural network to detect an object.
☆27Updated 7 years ago
Alternatives and similar repositories for Vehicle-Detection
Users that are interested in Vehicle-Detection are comparing it to the libraries listed below
Sorting:
- A dataset of traffic, fire and accident images for training deep learning models.☆159Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆59Updated 7 years ago
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆141Updated 8 years ago
- Multiple Object Tracking System in Keras + (Detection Network - YOLO)☆97Updated 7 years ago
- A robust lane detection system based on fully convolutional network for segmenting the road and the lane.☆53Updated 8 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆127Updated 7 years ago
- Detect vehicles in a video☆93Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆89Updated 7 years ago
- A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).☆86Updated 7 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆50Updated 8 years ago
- Object Tracking using CNN and RNN in Tensorflow☆59Updated 7 years ago
- Term 1, Project 5 - Udacity Self Driving Car Nanodegree☆20Updated 7 years ago
- Tensorflow object detection with tracking based on the DeepSort algorithm☆61Updated 2 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 8 years ago
- Uses Tensorflow Object Detection API to detect and track hands as well as estimate their distance from the camera☆72Updated 7 years ago
- A Keras port of Single Shot MultiBox Detector as Mobilenet as a Backbone☆61Updated 5 years ago
- To train a model to detect German traffic signs with tensorflow object detection API☆35Updated 7 years ago
- A Keras implementation of YOLOv3 (Tensorflow backend)☆21Updated 7 years ago
- OpenCV 3 & Keras implementation of vehicle tracking with video data.☆120Updated 7 years ago
- Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mil…☆41Updated 8 years ago
- ☆28Updated 7 years ago
- RESEARCH [ + ] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomo…☆78Updated 4 years ago
- Vehicle detection and tracking and speed estimation using opencv☆21Updated 7 years ago
- YOLO model with 3D bounding box estimation☆54Updated 7 years ago
- How to run Object Detection and Segmentation on a Video Fast for Free☆118Updated 6 years ago
- Compare FasterRCNN,Yolo,SSD model with the same dataset☆147Updated 6 years ago
- YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-o…☆18Updated 6 years ago
- Vehicle Detection with Convolutional Neural Network☆155Updated 8 years ago
- JordanMicahBennett / Smart-Ai-Pothole-Detector------Powered-by-Tensorflow-TensorRT-on-Google-Colab-and-or-Jetson-NanoSmart (Ai) Pothole Detector (By Jordan Bennett)☆92Updated 5 years ago
- This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. T…☆68Updated 6 years ago