Potassium-chromate/Stanford-Dogs-Classification-using-Transfer-Learning
View on GitHub ↗Related repositories →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)
Activity over time
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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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Potassium-chromate | 4 | 4 | 0 | 0 |
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.