GitHub / Hunterdii / DigiPic-Classifier
DigiPic-Classifier is a powerful image classification app built with Streamlit. It features two models: CIFAR-10 Object Recognition to classify objects like airplanes, cars, animals, and more, and MNIST Digit Classification for recognizing handwritten digits. With a sleek interface and real-time predictions, DigiPic-Classifier offers a seamless
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hunterdii%2FDigiPic-Classifier
PURL: pkg:github/Hunterdii/DigiPic-Classifier
Stars: 4
Forks: 5
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 9.73 MB
Dependencies parsed at: Pending
Created at: 11 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 4 months ago
Topics: canvas, cifar-10-classifier, cifar10-classification, classification-model, digital-image-processing, image-classification, image-recognition, machine-learning, mnist-handwriting-recognition, mnist-image-dataset