Crack detection using deep learning
Budget: $30 – $250 USD
I am looking for a freelancer who can develop a simple crack detection system using deep learning techniques. The project involves detecting surface cracks in metal surfaces images.
Skills and Experience:
- Proficiency in deep learning and computer vision algorithms
- Experience with developing and training Convolutional Neural Networks (CNNs)
- Knowledge of image processing techniques for crack detection
- Familiarity with working with real-world image datasets
Key requirements:
- Develop a simple deep learning model to detect surface cracks in metal surfaces images
- The model should be able to accurately classify and localize cracks in the images
- The system should be able to handle metals surfaces images conditions.
Optional skills:
- Experience with other deep learning models and frameworks
- Knowledge of image augmentation techniques to enhance the performance of the model
-Experienced in object detection models.
If you have the necessary skills and experience in deep learning and computer vision, I would like to hear from you. Please provide examples of previous projects or relevant work in your proposal.
Skills and Experience:
- Proficiency in deep learning and computer vision algorithms
- Experience with developing and training Convolutional Neural Networks (CNNs)
- Knowledge of image processing techniques for crack detection
- Familiarity with working with real-world image datasets
Key requirements:
- Develop a simple deep learning model to detect surface cracks in metal surfaces images
- The model should be able to accurately classify and localize cracks in the images
- The system should be able to handle metals surfaces images conditions.
Optional skills:
- Experience with other deep learning models and frameworks
- Knowledge of image augmentation techniques to enhance the performance of the model
-Experienced in object detection models.
If you have the necessary skills and experience in deep learning and computer vision, I would like to hear from you. Please provide examples of previous projects or relevant work in your proposal.