State of The Art Segmentation (Neural Net) on Plant Images including other Computer Vision tasks
Budget: $1,500 – $3,000 USD
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Looking for EXPERT in image segmentation and computer vision application.
This job consists of building a state-of-the-art (SOTA) framework for the segmentation of plant complex images (plant species of different sizes, dimensions, deformations, etc.). After the plant segmentation, other computer vision tasks such as leaf counting, leaf area calculation, leaf overlapping detection and finally leaf tracking should be added.
The goal is not just to apply certain deep learning (neural net-based) frameworks to
solve the problem but to design a new neural net framework which will offer technical
novelty and NEW BENCHMARK. It means that solution must beat other existing solutions.
The resources in terms of documents and existing scientific papers on this theme
can be easily provided. Once more, the goal is to beat existing deep learning
implementation by introducing valuable novelty.
The overall budget of the project is $1699 and it consists of two large datasets of
2D and 3D plant images of different plants. Prior to going to testing the framework on the large dataset
it should be first tested on a small dataset. The fixed budget is organized by datasets as follows:
- Small dataset (just short testing on the simple plant): $50
- Testing results after entrance: $50
- 2D dataset (large application): $800
- 3D dataset (large application): $800
The server equipped with two Nvidia 3090 GPU cards is available and must be utilized during the implementation of the new segmentation framework.
Only experts and persons with vast industrial/ academic experience are welcome to this project. Let's chat and make a beneficial deal.
Looking for EXPERT in image segmentation and computer vision application.
This job consists of building a state-of-the-art (SOTA) framework for the segmentation of plant complex images (plant species of different sizes, dimensions, deformations, etc.). After the plant segmentation, other computer vision tasks such as leaf counting, leaf area calculation, leaf overlapping detection and finally leaf tracking should be added.
The goal is not just to apply certain deep learning (neural net-based) frameworks to
solve the problem but to design a new neural net framework which will offer technical
novelty and NEW BENCHMARK. It means that solution must beat other existing solutions.
The resources in terms of documents and existing scientific papers on this theme
can be easily provided. Once more, the goal is to beat existing deep learning
implementation by introducing valuable novelty.
The overall budget of the project is $1699 and it consists of two large datasets of
2D and 3D plant images of different plants. Prior to going to testing the framework on the large dataset
it should be first tested on a small dataset. The fixed budget is organized by datasets as follows:
- Small dataset (just short testing on the simple plant): $50
- Testing results after entrance: $50
- 2D dataset (large application): $800
- 3D dataset (large application): $800
The server equipped with two Nvidia 3090 GPU cards is available and must be utilized during the implementation of the new segmentation framework.
Only experts and persons with vast industrial/ academic experience are welcome to this project. Let's chat and make a beneficial deal.