Hybrid CNN attention based model for traffic sign board classification
Budget: $30 – $250 USD
I am looking for a freelancer who can develop a hybrid CNN attention based model for traffic sign board classification. The model should be able to classify road signs with an accuracy of above 95%. I will provide the dataset for training and testing the model. The ideal candidate should have experience in developing CNN models and working with traffic sign classifications.
Compare results with 7 CNN models.
Draw the model figure.
- Add novelty to this model.
- Write result and discussion.
Key requirements:
- Hybrid CNN attention based model development
- Road sign classification with accuracy above 95%
- Experience with CNN models and traffic sign classification
-
Compare results with 7 CNN models.
Draw the model figure.
- Add novelty to this model.
- Write result and discussion.
Key requirements:
- Hybrid CNN attention based model development
- Road sign classification with accuracy above 95%
- Experience with CNN models and traffic sign classification
-