anushkaspatil/Food-Detection
Food Detection using Yolov8 (pre-trained model for object detection). Training yolov8 on the custom dataset to get the desired results.
This project helps developers fine-tune an existing object detection model (YOLOv8) to identify specific food items in images. You provide a dataset of food images with corresponding labels, and the project outputs a specialized model capable of recognizing those foods. This is for machine learning practitioners or data scientists looking to build custom food recognition applications.
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Use this if you need to train a custom computer vision model to detect and classify different food items within images or video frames.
Not ideal if you're looking for a ready-to-use food detection API or application, as this requires technical expertise in model training and setup.
Stars
33
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 03, 2025
Commits (30d)
0
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