kirilcvetkov92 / Vehicle-Detection
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 6 years ago
Alternatives and similar repositories for Vehicle-Detection:
Users that are interested in Vehicle-Detection are comparing it to the libraries listed below
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆139Updated 8 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆124Updated 7 years ago
- Real-time LISA Traffic Sign Detection by YOLOv2☆25Updated 7 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 7 years ago
- Tensorflow object detection with tracking based on the DeepSort algorithm☆60Updated 2 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 5 years ago
- Vehicle detection and tracking and speed estimation using opencv☆21Updated 6 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…☆40Updated 7 years ago
- A robust lane detection system based on fully convolutional network for segmenting the road and the lane.☆53Updated 7 years ago
- To train a model to detect German traffic signs with tensorflow object detection API☆35Updated 7 years ago
- Robust Highway Lane Segmentation Based on LaneNet Trained BDD100K☆29Updated 5 years ago
- Modified TensorFlow Object Detection Model for vehicle detection and tracking☆27Updated 6 years ago
- Detect vehicles in a video☆92Updated 5 years ago
- YOLO & RCNN Object Detection and Multi-Object Tracking☆33Updated 5 years ago
- A dataset of traffic, fire and accident images for training deep learning models.☆160Updated 5 years ago
- ☆125Updated 7 years ago
- Detecting Cars in real time and identifying the speed of cars and tracking☆64Updated 6 years ago
- A Keras implementation of YOLOv3 (Tensorflow backend)☆21Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆86Updated 7 years ago
- Compare FasterRCNN,Yolo,SSD model with the same dataset☆145Updated 6 years ago
- RESEARCH [ + ] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomo…☆79Updated 4 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆50Updated 8 years ago
- ☆13Updated 6 years ago
- Simple vehicle detection and counting with python and open cv final test☆54Updated 7 years ago
- A Python program for lane line detection and tracking using a traditional computer vision approach☆44Updated 7 years ago
- Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning☆63Updated 2 years ago
- Object Detection clubbed with a Graphical User Interface developed using Tkinter☆13Updated 6 years ago
- vehicle detection with deep learning☆34Updated 7 years ago