anuz505/Deep-Learning-Hackathon-Image-Segmentation-for-Autonomous-Vehicles
View on GitHub ↗Related repositories →This repository contains the code for the winning model of the Deep Learning Hackathon focused on image segmentation for autonomous vehicles using supervised learning techniques. Our model leverages state-of-the-art deep learning architectures to achieve high accuracy and efficiency in segmenting images critical for autonomous driving.
active 2024-07-13 → 2025-07-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 380 days from 2024-07-13 to 2025-07-27. Pushes: 5 total, peak 3 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
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- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| anuz505 | 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.