335 - Converting COCO JSON annotations to labeled mask images

335 - Converting COCO JSON annotations to labeled masks

This video walks you through the process of converting COCO JSON annotations to labeled mask images. The four main parts of this video tutorial are:
1. Downloading data​
2. Opening the (large) JSON file in python to understand the data​
3. Visualizing a few annotations on respective images to confirm the quality of annotations​
4. Converting JSON annotations to labeled masks

Code from this video is available here: https://github.com/bnsreenu/python_fo...

Dataset from: https://github.com/sartorius-research...
Note that the dataset comes with: Creative Commons Attribution - NonCommercial 4.0 International Public License
In summary, you are good to use it for research purposes but for commercial
use you need to investigate whether trained models using this data must also comply with this license - it probably does apply to any derivative work so please be mindful.

You can directly download from the source github page. Links below.
Training json: http://livecell-dataset.s3.eu-central...
Validation json: http://livecell-dataset.s3.eu-central...
Test json: http://livecell-dataset.s3.eu-central...
Images: Download images.zip by following the link: http://livecell-dataset.s3.eu-central...

If these links do not work, follow the instructions on their github page.

• #science_technology
• #microscopy
• #python
• #image_processing