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RAYnet-1A.23M
RAY-AIT/RAYnet-1A.23M
RAYnet-1A.23M is a image classification model from RAY-AIT. Use it when you need a label for an image. The card lists the license as apache-2.0.
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At a glance
- Task
- Image Classification
- License
- apache-2.0
- Access
- Public
- Created
- Aug 24, 2025
- Updated
- Aug 31, 2025
- SHA
- 0cce0a32
Model card
From the Hugging Face model README
RAYnet-1A Image Classification Model by RAY AUTRA TECHNOLOGY
Model Description
RAYnet-1A is a convolutional neural network (CNN) architecture designed for image classification. With 23 million parameters, it is optimized to find the best balance between accuracy and computational efficiency. Its intelligent design makes it particularly suitable for applications that require fast performance, such as real-time processing on mobile or embedded devices.
We encourage you to test image detection and image segmentation.
License Information This model is distributed under the Apache 2.0 License. You can find a full copy of the license in the LICENSE file of the repository.
Contact For any questions or collaborations, please feel free to contact us:
E-mail: [email protected]
RAY AUTRA TECHNOLOGY 2025
- Task
- Image Classification
- License
- apache-2.0
- Created
- Aug 24, 2025
- Updated
- Aug 31, 2025