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🔴 **Project Title**: **Traffic Accident Prediction Model using Deep Learning**
🔴 **Aim**: To develop a deep learning model that predicts the likelihood of traffic accidents based on historical data…
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## Description
The Traffic Accident Prediction project aims to develop a machine learning model that predicts the likelihood of traffic accidents based on historical data, such as accident records, w…
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I get wrong results when i test the model with video file, but not, if i give pictures to the model. can you please show me, how can i make prediction for video frames.
results look like:
Fire : 1…
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**Paper**: https://arxiv.org/abs/1903.00618
**Short summary**: Traffic accident detection in first-person (dashboard-mounted camera) videos.
The paper assumes that an anomaly may exist if an object’…
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I don't know if it's possible for Osmand, but it would be an enormous relief, if it was possible to access traffic information databases, that include traffic jam, construction sites, road closings, e…
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There is an API for traffic data for the German highways: https://github.com/bundesAPI/autobahn-api (in German).
I guess it is much effort to implement the data but it can still be a first step of …
jwsp1 updated
4 months ago
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Incident 29 concerns the "tank story," which may be apocryphal.
https://incidentdatabase.ai/cite/29
Incident 21 seems to be primarily about performance issues in a competition and is not necessari…
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Replicate QGIS steps into python commands for easy "replicate-ability"
- ~Define intersections (this was previously done using LION line intersection to determine point)~
- ~Obtain signalized inte…
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Post a link for a "possibility" reading of your own on the topic of Deep Learning with Text [for week 5], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we …
lkcao updated
2 years ago