This project is an image classification model trained on the FER2013 dataset. The model is able to classify images of faces into two classes: 'Happy' and 'Sad'. The model was trained using the TensorFlow framework, and the training data was split into three sets: train, validation, and test. The model achieved an accuracy of 98% on the test set.
active 2023-12-30 → 2023-12-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-12-30 to 2023-12-30. Pushes: 5 total, peak 5 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 |
|---|---|---|---|---|
| BimsaraS99 | 5 | 5 | 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.