Kate/splitter cli (cvat-ai#81)

* add cli support for classification/detection splitter

* revisit re-id splitter and implement cli for re-id

* Update docs

Co-authored-by: Maxim Zhiltsov <maxim.zhiltsov@intel.com>

CHANGELOG.md

@@ -8,9 +8,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 ### Added
-- Task-specific Splitter (<https://github.com/openvinotoolkit/datumaro/pull/68>)
 - `WiderFace` dataset format (<https://github.com/openvinotoolkit/datumaro/pull/65>)
 - Function to transform annotations to labels (<https://github.com/openvinotoolkit/datumaro/pull/66>)
+- Task-specific Splitter (<https://github.com/openvinotoolkit/datumaro/pull/68>, <https://github.com/openvinotoolkit/datumaro/pull/81>)
 - `VGGFace2` dataset format (<https://github.com/openvinotoolkit/datumaro/pull/69>)
 
 ### Changed

README.md

@@ -147,6 +147,14 @@ CVAT annotations                             ---> Publication, statistics etc.
     - polygons to instance masks and vise-versa
     - apply a custom colormap for mask annotations
     - rename or remove dataset labels
+  - Splitting a dataset into multiple subsets like `train`, `val`, and `test`:
+    - random split
+    - task-specific splits based on annotations,
+      which keep initial label and attribute distributions
+      - for classification task, based on labels
+      - for detection task, based on bboxes
+      - for re-identification task, based on labels,
+        avoiding having same IDs in training and test splits
 - Dataset quality checking
   - Simple checking for errors
   - Comparison with model infernece