SSD300 Model using PyTorch
This project presents a portable, AI-based object detection system designed to assist visually impaired users by identifying nearby objects in real-time without the need for an internet connection. Built using edge AI technology, it ensures privacy, speed, and accessibility.
Convex Shape Recovery Program for Single-Shot X-ray Tomography
Spam Detection Using Bert
Implemented SSD model to differentiate the front and rear views of the vehicles in images or video streams.
đź” A TensorFlow-Lite powered tracking rover.
Python project for home security
Machine Learning for unsupervised & single-shot quality inspection & defect-detection on the assembly line.
A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.
Automatic Number Plate Recognition for Macau
photonet
This project focuses on a 2021 research paper on target detection in SAR images based on semi-supervised learning and attention mechanism.
In this project I have implemented Object Detection using a single shot detector. The tricky part was the objects were densely populated as the images were of a retail store.
Standard RetinaNet implemented with Pure PyTorch (Work in progress)
Real-Time Object Detection with Single Shot MultiBox Detector (SSD)
Control your mouse pointer with natural hand gestures trained on Single Shot Detectors
ECE285 SP19
Real time Object detection: object detection system to enhance pedestrian safety and assist visually impaired individuals in navigating urban environments through real-time obstacle detection and alerts.
Single Shot Multibox Detector on Caltech pedestrian dataset
Business intelligent tool that extracts customer shopping patterns from surveillance video footage
Add a description, image, and links to the single-shot-detection topic page so that developers can more easily learn about it.
To associate your repository with the single-shot-detection topic, visit your repo's landing page and select "manage topics."