Fix ambiguous coco format detector

[wonjuleee]

Summary

Before, all the coco datasets such as panoptic, stuff, caption are detected as just coco.
With this PR, a specific coco task is detected.
For instance,

formats = dm.Environment().detect_dataset(path="./tests/assets/coco_dataset/coco_instances")

returns coco_instances.

If the dataset directory contains multiple task types of COCO, it looks like

formats = dm.Environment().detect_dataset(path="./tests/assets/coco_dataset/coco")

returns coco.

So we can choose one task for importing operation.
We here remain the original coco to import all annotation files like below.

note. Previously, our coco importer can load any annotation filename like {unknowntask}_{subsetname}, but with this PR, it is restricted to import {instances,panoptic,caption,labels,...}_{subsetname}.

How to test

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have added the description of my changes into CHANGELOG.​
• I have updated the documentation accordingly

License

• I submit my code changes under the same MIT License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below).

# Copyright (C) 2024 Intel Corporation
#
# SPDX-License-Identifier: MIT

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 80.98%. Comparing base (44cc56a) to head (dcf43df).
Report is 31 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #1442      +/-   ##
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+ Coverage    80.85%   80.98%   +0.12%     
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  Files          271      272       +1     
  Lines        30689    31144     +455     
  Branches      6197     6276      +79     
===========================================
+ Hits         24815    25223     +408     
- Misses        4489     4505      +16     
- Partials      1385     1416      +31     

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ubuntu-20.04_Python-3.10	80.96% <100.00%> (+0.12%)	⬆️
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[sooahleex]

Looks good to me.