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Potassium-chromate/Stanford-Dogs-Classification-using-Transfer-Learning

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This project aims to classify images in the Stanford Dogs Dataset using Transfer Learning, utilizing the InceptionResNetV2 architecture, a proven image classification model. The main objective is to demonstrate the capability of Transfer Learning to quickly develop highly accurate models even with limited labeled data.

active 2023-09-29 → 2023-09-29 (UTC)

Complete coverage27,365 / 27,365 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-28 (UTC)
Events
6
Pushes
4
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2023-09-29 to 2023-09-29. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 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
Potassium-chromate4400

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.