🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕

Food Detection using Yolov8 (pre-trained model for object detection). Training yolov8 on the custom dataset to get the desired results.

An end-to-end CNN Image Classification Model which identifies the food in your image

[ 보아즈 ] 음식 칼로리 자동 계산 서비스

A web application that use a YOLOv10b model, got mAP50 of 0.92, trained on the VietFood67 dataset to perform real-time Vietnamese food recognizing.

I have created a tiny project fruit detection in the android base application by using a machine learning algorithm. By using this application we can easily detect any fruits.

Detects the class of food given in an image with pretrained mobilenetV2 and CNNs.

🍎🥦 A smart web app that detects fruits and vegetables using YOLOv5 and PyTorch, and displays calorie information in real time.

YOLOv11-based food detection in restaurant videos. Dataset preparation, training, evaluation and model deployment.

A real-time computer vision system that detects hotdogs in images and live webcam feeds using the YOLOv8 object detection model. Built with Ultralytics YOLO and OpenCV, the project demonstrates end-to-end inference pipelines, bounding box visualization, and confidence-based filtering using a pretrained COCO model.

AI Food Recognition and Calorie Estimation API for CaloCook

Upload a food photo, get the calories. AI-powered tracker with BMI calculator, meal-wise logging & personalized daily goals. PHP + Python + MySQL.

This project implements a Convolutional Neural Network (CNN) to classify food images as fresh or not fresh. The model is trained using PyTorch and applies standard computer vision preprocessing steps such as resizing, normalization, and tensor conversion. The goal is to help detect food freshness automatically using image classification