GitHub / SiddiquiZainab / FruitC
This project aims to classify different types of fruits using machine learning models. The objective is to build a model that can accurately identify the type of fruit based on images.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SiddiquiZainab%2FFruitC
PURL: pkg:github/SiddiquiZainab/FruitC
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 17.5 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 12 months ago
Topics: computer-vision, computer-vision-algorithms, fruit-classification, fruit-recognition, imagenet-dataset, mobile-net-v2, mobilenetv2, pretrained-weights, transfer-learning, transfer-learning-conv-ai