Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.

A Django web app that provides an API for object detection using YOLOv3.

Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

Camera feed detector using Tensorflow Detection API on a Tensorflow Serving Docker container. There is also a version using only YoloV3 to detect objects. All models are from the model zoo from Tensorflow and Darknet, these models are trained on the coco dataset.

Real time object detection Android application using OpenCV 4.1 and YOLOv3.

As I continued exploring YOLO object detection, I found that for starters to train their own custom object detection project, it is ideal to use a YOLOv3-tiny architecture since the network is relative slow and suitable for small/middle size datasets

A Streamlit-based application for detecting helmets, bikes, and recognizing number plates in a video stream. It uses the YOLOv3 object detection model for detecting bikes and helmets and a CNN model for helmet detection. Additionally, it recognizes number plates in real-time video.

Diving into Object Detection and Localization with YOLOv3 and its architecture, also implementing it using PyTorch and OpenCV from scratch.

An Object Detection Application using YOLOv3 (PyTorch and Django Implementation)

An E2E tutorial on custom object detection using YOLOv3 with Transfer Learning on Google Colab.

Object Detection for Video with MXNet and GluonCV using YOLOv3

YOLOv3 - Neural Networks for Object Detection in satellite Imagery.

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Web application for real-time object detection 🔎 using Flask 🌶, OpenCV, and YoloV3 weights. It uses the COCO Dataset 🖼.

A simple YOLOv3 object detection API in Python (using Flask).

deep learning based object detection using YOLOv3 with OpenCV

The model was developed for the detection of traffic objects using the CARLA simulator, YoloV3, Python.

Created a computer vision pipeline to detect and classify cars as SUVs or sedans using transfer learning on Mobilenet and object detection using YOLOv3.

Object Detection and Tracking in Street View Imagery using YOLOv3 and DeepSORT.

Yolov3 Object Detection In OSRS using Python code, Detecting Cows - Botting

use yolov3 onnx model to implement object detection