Modifies Darknet to determine if social distancing is followed based on aerially captured images/videos.
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Updated
Jan 15, 2021 - C
Modifies Darknet to determine if social distancing is followed based on aerially captured images/videos.
Convolutional Neural Networks
The model is to detect the accident at the site and will identify the objects in terms of vehicle class whether the object is car, bus, van etc. and also detect the accident that is whether the accident happened or not. Proper labeling will be there which make sure to give whole information from the site we examine.This model will also run on vi…
Masks and FaceShield Detection for Covid 19
Develop custom YoloV3 Model using developed Django tool
Enhancing Object Detection in using Thermal Imaging for thin cross-section unidentifiable objects(eg. cyclist, pedestrians).
Julia Demo, revamped
The repository for my Bachelor Thesis (Major Project - ETMJ100) TrackerBot.
MPC implemented with yolo stop detection
The project aims to use a trained model in the YOLO network to detect objects that will be detected by the robot structure with a computer on which ROS has been installed. ROS manages the individual packages used in the project.
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Hybrid MSRM-based deep learning and multitemporal Sentinel-2-based machine learning algorithm detects near 10k archaeological tumuli in North-western Iberia
This repository contains the implementation of a real-time human gender detection application using an optimized Darknet Library. For accurate detection of faces closer or farther from the camera, YOLOv3 architecture is used. It was trained on a modified FDDB dataset
Object detection on the custom dataset. Train, test and evaluate the model on mAp.
Convolutional Neural Networks
基于yolov3的目标检测,障碍物测距等
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