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ec-026/Deep-Object-Damage-Analysis

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This project is a full-stack website that uses YOLOv8, OpenCV, and Flask to detect damage. The website features a custom model developed to accurately assess the severity of damage. With its advanced detection capabilities, this website provides a powerful tool for quickly and accurately identifying damage.

active 2023-09-17 → 2025-01-24 (UTC)

Complete coverage27,379 / 27,379 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-28 (UTC)
Events
31
Pushes
13
Pull requests
4
Issues
0
Stars
3
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 496 days from 2023-09-17 to 2025-01-24. Pushes: 13 total, peak 9 in a day. Pull requests: 4 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 3 in a day. Stars: 3 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
ec-026191342
vercel[bot]1001

Recent activity

Latest issues, pull requests and releases

  • Pull request#2ec-0262023-09-18 09:54
  • Issue comment#2ec-0262023-09-18 09:53
  • Issue comment#2ec-0262023-09-18 09:49
  • Issue comment#2vercel[bot]2023-09-18 09:47
  • Pull request#2ec-0262023-09-18 09:47
  • Pull request#1ec-0262023-09-17 23:03
  • Pull request#1ec-0262023-09-17 23:03

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.