Python Code Development for Weed Detection
Budget: $10 – $30 USD
I'm looking for a Python expert to write code for training a model to detect weed regions in images, using pre-labelled datasets.
Key Requirements:
- Python: Proficiency in Python is a must.
- Machine Learning: Experience with industry-standard ML frameworks is essential. You can choose between TensorFlow, PyTorch, or scikit-learn based on your preference and expertise.
- Image Processing: The project involves the output of segmentation masks of weed regions from the model.
Your task will be to develop a model that can accurately identify and segment weed regions in various images. The end result should be segmentation masks that delineate weed regions from non-weed regions in the images.
Use guidelines from this github url: https://github.com/CoFly-Project/Weed-Detection/blob/main/README.md
The weed database can be found on this link: https://zenodo.org/records/6697343#.YrQpwHhByV4
Key Requirements:
- Python: Proficiency in Python is a must.
- Machine Learning: Experience with industry-standard ML frameworks is essential. You can choose between TensorFlow, PyTorch, or scikit-learn based on your preference and expertise.
- Image Processing: The project involves the output of segmentation masks of weed regions from the model.
Your task will be to develop a model that can accurately identify and segment weed regions in various images. The end result should be segmentation masks that delineate weed regions from non-weed regions in the images.
Use guidelines from this github url: https://github.com/CoFly-Project/Weed-Detection/blob/main/README.md
The weed database can be found on this link: https://zenodo.org/records/6697343#.YrQpwHhByV4