Deep Learning Classification: Core Identification
Budget: $30 – $250 USD
This project primarily revolves around developing a deep learning model to undertake classification with an instance segmentation method. A blend of both pre-trained and custom models will be employed for this unique task.
Key specifications include:
1. Application of CNN, Transformer, Mask R-CNN methods.
2. Usage of both pre-trained and bespoke models specifically optimized for our images.
3. The core objective is object recognition, specifically focusing on 'Core' objects within our provided images.
The ideal candidate should possess a strong understanding of:
- Deep Learning concepts and implementation.
- CNN, Transformer, and Mask R-CNN.
- Customizing or adapting pre-trained models.
- Experience in object recognition projects, particularly those pertaining to 'Core' objects.
If you align with the above, I look forward to collaborating with you on this innovative endeavor.
Key specifications include:
1. Application of CNN, Transformer, Mask R-CNN methods.
2. Usage of both pre-trained and bespoke models specifically optimized for our images.
3. The core objective is object recognition, specifically focusing on 'Core' objects within our provided images.
The ideal candidate should possess a strong understanding of:
- Deep Learning concepts and implementation.
- CNN, Transformer, and Mask R-CNN.
- Customizing or adapting pre-trained models.
- Experience in object recognition projects, particularly those pertaining to 'Core' objects.
If you align with the above, I look forward to collaborating with you on this innovative endeavor.
Related categories:
Python
Machine Learning (ML)
Artificial Intelligence
Deep Learning
Classification