A simple object classificator

Implemented a CNN to classify images from CIFAR-10 dataset

Sensorimotor Cross-Behavior Knowledge Transfer for Grounded Category Recognition

Vehicle Detection application based on OpenCV, YOLOv3 and PyQt5 GUI - implementation in terms of Software Engineering course on AGH University of Science and Technology

A simple web site to classify flowers into 5 classes using CNN

Unsupervised Learning Classification with K-Means

Easily train your semantic segmentation, part segmentation or object classification task with different pointcloud networks. In development.

Computer vision object classifier for Android

This is an AI system that aims to make AI object classification accessable to anyone, and expand the reach of classical AI image classification, this set also includes pre-trained models. NOT CREATED BY A MEDICAL PROFESSIONAL, USE AT YOUR OWN RISK.

Implement a safe autonomous navigation in a simulated 3D environment. In the simulation there will be traffic lights, that must be recognized by the self-driving car using a camera. Based on the state of the traffic light the car keeps moving, reduce the velocity, or stops. The self-driving car needs to be able to not exceed the maximum velocity…

Simple classification script that uses VGG16. Learned on image-net

Object classification using PyTorch and used as a web service.

Este es un proyecto de Data Science en el que aplicaremos: YOLOv8 + Streamlit

This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The model is capable of detecting cars, buses, trucks, and trains in real-time video streams. This model combines state-of-the-art object detection and tracking techniques.

Project that detects and classifies objects in an image using the YOLO algorithm with OpenCV

Deep learning pet breed recognition app

end to end classification project , to check whether chicken is healthy or affeccted with coccidiosis based on chicken fecal image collected , Model used - VGG16