Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.

This repository illustrates the steps for training YOLOv3 and YOLOv3-tiny to detect fire in images and videos. First, a fire dataset of labeled images is collected from the internet. The images with their annotations have been prepared and converted into YOLO format and put into one folder to gather all the data. Therefore, the data folder conta…

Human Activity Recognition Using Deep Neural Network

Pytorch implementation of Yolo series

Measurement of the dimension of an object by its image using Deep Learning

Library for simple object recognition on images using YOLO model

Compilation of pre trained weights (for use with darknet object detection).

Develop ML models to automatically identify five protein complex classes in cryoET tomograms. This will help mine vast cryoET datasets, revealing cellular "dark matter" and enabling discoveries in health and disease research.

Course on how to build your own Detector based on YOLO version 3 algorithm

You Only Look Once: Real-Time Object Detection

Data analysis and object detection to assess Hurricane Maria's impact using NDVI analysis and YOLO modeling for disaster relief planning.

Successfully developed an object detection model using YOLOv8 to accurately detect and localize car number plates in real-time, suitable for smart surveillance and automated traffic monitoring systems.