- Fill all fields in
settings.py
in the sectionBefore uploading to instance
. - Implement the
convert_and_upload_supervisely_project()
function inconvert.py
. - Run
main.py
to upload the dataset to the Supervisely instance. - Check the result in the web interface, select an image for preview and check if annotations are having correct colors.
- Fill all required fields in
settings.py
in the sectionAfter uploading to instance
. - If needed fill in optional fields in
settings.py
in the sectionAfter uploading to instance
. - Run
main.py
to change thecustom_data
of the project and build the required files in the repository. - Commit and push changes to the repository.
generated from dataset-ninja/dataset-template
-
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Dataset is designed to be useful for Monocular Depth Estimation and Segmentation tasks
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