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TrafficSignRecognition
BeylasanRuzaiqi/TrafficSignRecognition
TrafficSignRecognition is a machine learning model from BeylasanRuzaiqi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras. The card lists the license as apache-2.0.
The project revolves around creating a deep neural network that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs with 98% acc…
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At a glance
- Library
- keras
- License
- apache-2.0
- Access
- Public
- Created
- Jan 22, 2024
- Updated
- Jul 8, 2024
- SHA
- 1cabef6d
Model card
From the Hugging Face model README
The project revolves around creating a deep neural network that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs with 98% accuracy. Our approach to building this traffic sign classification model is discussed in four steps:
- Exploring the dataset and some visualizations
- Splitting the dataset into training and testing data
- Building the CNN model
- Training and validating the model
- Testing the model with the testing dataset
- Library
- keras
- License
- apache-2.0
- Created
- Jan 22, 2024
- Updated
- Jul 8, 2024