A Pothole can be seen with two eyes

Project details match catalog

About

The proposed system addresses the issue of potholes and poor road quality in developing countries by utilizing an end-to-end architecture that combines both computer vision and sensor-based models.

Impact

The product includes connected applications like an analytics dashboard for government use and a navigation application for consumers. This approach is an innovative, scalable, reliable, and can be deployed with minimal changes to existing infrastruc

Progress

Specialized software for collecting motion sensors data from IoT devices and streaming to our cloud pipeline. An innovative ensemble of YOLOS and YOLOv8 models, achieving a 97.34% mAP@0.50 score for pothole detection.

Team

I am passionate about the problem

Funding

No displayed figures preserved for this project.

Season totals as displayed on the platform's public accounting — not a statement of amounts paid out. V2 = Venus sales + Venus extras. The original page also broke each season down by fund drive and showed an Available (unclaimed) balance; that level of detail survives only on the preserved snapshots.

Leaderboard page (offline): https://artizen.fyi/projects/a-pothole-can-be-seen-with-two-eyes
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Not recovered: creator, links, funding, drives, submissions, snapshot. Sources: "snapshot" = verbatim Internet Archive page · "platform metadata" = archived artizen.fund page metadata · "leaderboard" = the artizen.fyi public accounting tables · "match catalog" = the platform's public fund-matching catalog (captured 2026-10-15, generated 2026-09-07) · "community catalog" = a June 2026 platform scrape preserved in a community repo.