prakhargurawa / Vehicle-Detection-Classification-YOLO-MobileNetLinks
Created a computer vision pipeline to detect and classify cars as SUVs or sedans using transfer learning on Mobilenet and object detection using YOLOv3.
☆11Updated 4 years ago
Alternatives and similar repositories for Vehicle-Detection-Classification-YOLO-MobileNet
Users that are interested in Vehicle-Detection-Classification-YOLO-MobileNet are comparing it to the libraries listed below
Sorting:
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆314Updated 2 years ago
- ☆120Updated 4 years ago
- This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-dete…☆151Updated 5 years ago
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆39Updated 5 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆165Updated 2 years ago
- Automatic Number Plate Recognition with YOLOv5 and PyTorch☆19Updated 2 years ago
- Detect speed of vehicles on multi-lane highways.☆13Updated 4 years ago
- Vehicle Detection Using Deep Learning and YOLO Algorithm☆263Updated last year
- Real-Time Object Detection, Tracking, Blurring and Counting using YOLOv8☆47Updated 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
- ☆67Updated 5 years ago
- This project is an aspect of a big project that is called the Self-Driving Car. One of the essential techniques in Self-Driving Car engin…☆10Updated 4 years ago
- xml file vehicle detection☆39Updated 2 years ago
- Automatic License/Number Plate Recognition using YOLOv3 and LeNet Architecture☆16Updated last year
- ☆69Updated last year
- Identifying traffic signs in real time using YOLO for autonomous self driving car☆73Updated last year
- An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with Yo…☆81Updated 2 years ago
- Building a small demo system to detect and count vehicle using Streamlit framework☆19Updated last year
- Tracking and counting persons☆51Updated 2 months ago
- An AI based helmet detection , which can detect the helmets from the images with 99% accuracy . It is implemented using Opencv, Python, Y…☆67Updated last month
- ☆42Updated 5 years ago
- ☆29Updated 3 years ago
- A guide on how to setup TensorFlow Object Detection API in 2020☆90Updated 2 years ago
- A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorit…☆29Updated 2 years ago
- YOLOv7 Object Tracking using PyTorch, OpenCV and DeepSORT☆104Updated 2 years ago
- Vehicle Counting Using Yolov8 and DeepSORT☆96Updated last year
- 🚗 VehicleDetectionTracker: Real-time vehicle detection and tracking powered by YOLO. 🚙🚕 A personal Proof of Concept (POC) aimed at exp…☆122Updated 2 months ago
- Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.☆32Updated 3 years ago
- ☆43Updated 2 years ago
- The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the…☆13Updated 3 years ago