abrahamkoloboe27/Fruits-Recognition-Training
Projet de Classification d'Images de Fruits
This project helps quickly and accurately identify different types of fruits from images. It takes raw fruit images (like apples or bananas) and, after training, outputs a label classifying the fruit type. This is useful for anyone needing to automate fruit identification, such as those in quality control, inventory management, or educational settings.
Use this if you need to train and compare several AI models to automatically recognize and classify various fruits from images with high accuracy.
Not ideal if you need to classify objects other than fruits or require real-time, low-latency classification on edge devices without prior model training.
Stars
10
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/abrahamkoloboe27/Fruits-Recognition-Training"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
robotic-vision-lab/CitDet-A-Benchmark-Dataset-For-Citrus-Fruit-Detection
CitDet: A benchmark dataset for citrus fruit detection.
arpanpramanik2003/FruitQ-GradeX
A dual-headed deep learning model built using TensorFlow and Keras to classify fruit type...
bhavikmk/Fruit-Sorter
A Fruit Sorting machine designed to automate the process of sorting and grading mangoes using...
NhanPhamThanh-IT/Fruit-Veggie-Classifier
🍎 Fruit & vegetable image classifier using TensorFlow CNN. 18 categories, Streamlit web app,...
cogsys-tuebingen/deephs_fruit
Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning