The project utilizes convolutional-based network architectures for semantic image segmentation. This project utilizes the Indian Driving Dataset (IDD) Lite to classify various elements in Indian road scenes into predefined categories. Our implementation utilizes FCN8, U-Net, PSPNet, LINKNet, and DEEPLABV3+, with DEEPLABV3+ .
active 2024-11-24 → 2025-01-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 41 days from 2024-11-24 to 2025-01-03. Pushes: 17 total, peak 7 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: 2 total, peak 1 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 |
|---|---|---|---|---|
| pratheeshkumar99 | 17 | 17 | 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 — 2 stars here means stars gained during the window, not the repo's star count.