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ghssni/Traffic-Net-Detection-Computer-Vision

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Explored the classification of traffic conditions and incidents in traffic images using Convolutional Neural Networks (CNNs) built with both Keras Sequential and Functional APIst. This project demonstrates the value of both approaches. While the Sequential API achieved a strong accuracy of 80% in classifying traffic states.

active 2024-03-29 → 2024-03-29 (UTC)

Complete coverage27,727 / 27,727 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-13 (UTC)
Events
4
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 1 days from 2024-03-29 to 2024-03-29. Pushes: 3 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.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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ghssni3300

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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.