Performance comparison of YOLO, FasterRCNN and SSD for Object Detection (Person)
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Updated
Oct 15, 2023 - Python
Performance comparison of YOLO, FasterRCNN and SSD for Object Detection (Person)
Application to check if you have genu valgum or not using the knee angle.
This is a deep learning code written in PyTorch that convert a given text into image.
Welcome to my COCO dataset test project! Here, I dedicate myself to exploring and analysing the famous COCO (Common Objects in Context) dataset. With enthusiasm and curiosity, I use this image-rich dataset to select a specific image and represent the objects within it by means of squares surrounding them, according to their 'labels' or tags.
Transfer learning in PyTorch using a custom coco dataset
Automatic checkout system for supermarket, mall and store support smart city innovation. Top 5 at Hackathon 2020: Smart City
Convert your own dataset to COCO dataset.
This is a small Raspberry-Pi enabled Object detection and alarming system.
Build a subset of COCO dataset
This Repository contains an illustration of Object detection using a pre trained model of Yolov3 with the help of Coco dataset we could label the objects.
Use the python script to select images contains person in the COCO。
A neural network architecture that automatically generate captions from images.
Body measurement feature in Clotize App
This repository tackles traffic congestion in smart cities using computer vision. The system automatically detects and classifies vehicles, analyzes traffic density, and dynamically adjusts traffic lights - all to optimize traffic flow!
Projects for MSc course: Deep Learning
Image caption generator using tensorflow and coco dataset
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