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13 changes: 13 additions & 0 deletions docs/source/tutorials.rst
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,19 @@ End-to-End Examples

Complete workflows from data upload to deployment.

Each notebook below trains on a public dataset (BCCD, FracAtlas, BUSI, Synapse). The
download-and-upload step for each one is a single call into ``datamint.examples``, a
helper module that downloads the raw dataset, uploads it to a Datamint project, and
creates the matching annotations:

.. code-block:: python

from datamint.examples import bccd_dataset

project = bccd_dataset.create(project_name="bccd_detection")

Other available modules: ``fracatlas_dataset``, ``busi_dataset``, ``synapse_dataset``.

**Slice-based (2D)**

* `01_fracatlas_classification.ipynb <https://github.com/SonanceAI/datamint-python-api/blob/main/notebooks/06_end_to_end/slice_based/01_fracatlas_classification.ipynb>`_: End-to-end classification pipeline on the FracAtlas dataset.
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