ondrejhruby/Fruit-Recognition
Fruit Recognition using CNN and Pre-trained Models (ResNet, VGG16, VGG19, Inception): A comprehensive deep learning project showcasing multiple approaches for classifying fruit images using custom CNN and state-of-the-art pre-trained models.
No commits in the last 6 months.
Stars
3
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ondrejhruby/Fruit-Recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cogsys-tuebingen/deephs_fruit
Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning
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,...