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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar bug report.
### YOLOv5 Component
Detection
### Bug
Hi, i am …
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**Is your feature request related to a problem? Please describe.**
for visually impaired people the most common problem is to be able to cross or walk on roads by themselves . for them to be able to …
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This issue tracks incidents where the vehicle reads a motorway exit speed limit sign and misdetects it as a motorway speed limit sign. This usually decreases the vehicle's idea of the applicable speed…
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Targeted Physical-World Attention Attack on Deep
Learning Models in Road Sign Recognition
https://arxiv.org/pdf/2010.04331.pdf
=>
CNN with 3 Spatial Transformers
https://paperswithcode.com/pap…
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@carlosmccosta can you please share your trained weight file for traffic sign detection and recognition
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If a road has a 40 km/h ROADWORK sign, the speed limit is correctly detected as 40 km/h. A subsequent END ROAD WORK sign is not detected, so that the detected speed limit continues to be 40 km/h inste…
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Thanks for sharing your work!
How much mAP (or another metric) was your model able to achieve on the mapillary val set?
isht7 updated
7 months ago
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* Name of dataset: Mapillary Traffic Sign Dataset (research)
* URL of dataset: https://www.mapillary.com/dataset/trafficsign
* License of dataset: https://www.mapillary.com/dataset/assets/mapillary-…
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**Description:**
I would like to propose the implementation of a Convolutional Neural Network (CNN) for traffic sign recognition, utilizing the German Traffic Sign Recognition Benchmark (GTSRB) datas…
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Hi,
Would you mind to share the code to train the CNN ?
I want to retrain with french road signs.
Thanks,
BR