detecting license plates and cars in a video using YOLO NAS and YOLOv5
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Updated
Jun 20, 2023 - Jupyter Notebook
detecting license plates and cars in a video using YOLO NAS and YOLOv5
Main idea: the realisation of a video object detector,on the basis of two methods YOLO and SEQ-NMS.
Object Detection and Localization using Image processing and Machine learning Algorithms like YOLO
Object Detection, YoloV4, Streamlit, DNN model, OpenCV, Python
Object detection using the YOLO (You Only Look Once) algorithm is a popular deep-learning approach that allows for real-time, efficient, and accurate detection of multiple objects in an image or video stream. YOLOv7.cfg and YOLOv3.weights are specific configurations and pre-trained weights for two versions of the YOLO algorithm.
CNN to detect, track and count passing vehicle types
🚀 YOLOv8: Extended Edition is a fork of Ultralytics YOLOv8 repository. but with new features focuses on Automotive Vechicles 🚗.
Yolo is used to detect objects and label them using coco dataset. The position with its accuracy are displayed using bounding boxes around the objects. This is a pre trained model with weights anf cfg file in it.
Training a computer vision algorithm on a BDD100K dataset for autonomous driving, and applying it to perform object detection task.
A multi-class classification, Yolo algorithm
Labeling tool for object detection
Deep_learning specialization course by andrew NG from Coursera
Contains code which were very useful when dealing with COCO Dataset
Annotation data updater is a console/commandline tool made in C# (.NET 5) to interact and modify/update an existing YOLO dataset in a fast and easy way.
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