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GeorgeEliWilliams/Image-Classification-Web-Application-with-Flask

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A simple and user-friendly web application built with Flask that allows users to upload images and receive predictions on the image's content using the ResNet50 model pre-trained on the ImageNet dataset. This project demonstrates the integration of deep learning models into a web interface for practical applications.

active 2024-06-07 → 2025-01-31 (UTC)

Complete coverage28,236 / 28,236 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-03 (UTC)
Events
5
Pushes
1
Pull requests
2
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 239 days from 2024-06-07 to 2025-01-31. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
GeorgeEliWilliams2110
Metameg1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#1GeorgeEliWilliams2025-01-31 15:54
  • Pull request#1Metameg2024-12-20 02:00

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.