umyakar/CS4342-Multi-Class-Traffic-Sign-Recognition-Using-CNNs-Transfer-Learning
View on GitHub ↗Related repositories →Designed and implemented scalable machine learning solutions to solve a multi-class classification task using the German Traffic Sign Recognition Benchmark (GTSRB) dataset as part of my Machine Learning course. Developed a custom Convolutional Neural Network (CNN) and fine-tuned pre-trained architectures (ResNet50 and VGG16).
active 2025-01-04 → 2025-01-04 (UTC)
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Line chart, 1 days from 2025-01-04 to 2025-01-04. Pushes: 1 total, peak 1 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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| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| umyakar | 1 | 1 | 0 | 0 |
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