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

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

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

An implementation of k-means clustering that maintains data association.

YOLOv8 + PyTorch + CV2 Python-Flask Web application for Object Detection and Classification

Code and image database for IROS2022 paper "RECALL: Rehearsal-free Continual Learning for Object Classification". A algorithm to learn new object categories on the fly without forgetting the old ones and without the need to save previous images.

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.

Intelligent Camera - a Flutter app for real-time object detection and classification

Deep learning pet breed recognition app

Computes loss between two sets of entities using the optimal assignment based on the Hungarian algorithm.

Leverage YOLOv8, a cutting-edge real-time object detection system, to train custom datasets for efficient object detection in images and videos. Harness YOLOv8's speed and accuracy for seamless integration into diverse computer vision applications. Clone the repository, follow the README setup, and contribute to project enhancement.

Deliverables relating to the Advanced Computer Vision for AI University Unit

This is a classification model and a post-processing method of any object detection model for false positive elimination.

A real-time project that detects and classifies urine cells from microscopic images. This project provides information on urinary health and diseases and assists doctors.

Image-based plant disease detection systems hold immense promise for revolutionizing agriculture by enabling early detection, precise control, and sustainable management of plant diseases, leading to increased crop yields, improved food quality, and enhanced economic benefits for farmers.

Build a flask app that identifies and diagnoses whether chicken has coccidiosis disease or not through fecal sample image.

Aggregates labeled vehicle images and classifies vehicle images on granularity of make, model, and generation

Scene similarity for weak object discovery & classification

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".