computer-vision

Follow me - Vision is a vision-based control system designed to automate the navigation of remote-controlled objects like drones or cars. Using computer vision, the system detects a target object and generates commands to autonomously follow the subject in real time. Ideal for applications where a vehicle needs to track and follow a designated guide without manual intervention. For example, it could be used to help an elderly person by having a shopping cart follow them around a store.

This project is part of a larger, future initiative called Follow Me !

An open-source computer vision framework for wildlife image analysis, focusing on avian species.

Repository to store train coffee diseases classification code

Repository to test Triton's BLS

Test model ensemble with more than one model in Triton

Test model management in Triton

A CBIR and classification system that uses both representation learning and handcrafted features to build the image descriptors.

Vision Transformer applied to skin cancer classification

Population density tracker using Computer Vision.

Project designed to identify a person’s drowsiness

Hackathon project that uses computer vision to offer a bubble sheet correction platform

3D Hand Pose Estimation using Multi-View CNNs

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a FACE RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY)

Mobile app providing prepaid phone card fast and easy scanning. Also available on https://github.com/hramaroson/photokredy

Computer vision object classifier for Android