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Feature Requests for CVAT #9105

@bhavya-goyal-22

Description

@bhavya-goyal-22

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  • I searched the existing issues and did not find anything similar.
  • I read/searched the docs

Is your feature request related to a problem? Please describe.

Feature Requests for CVAT

1. Bulk Annotation Download for Multiple Jobs Under a Task

Problem:

  • Currently, exporting annotations requires downloading each job separately.
  • After clicking "Download," users are redirected to another page to retrieve the file.
  • This process is tedious and time-consuming when working with multiple jobs.

Proposed Solution:

  • Add an option to select multiple jobs and export all annotations at once.
  • Bundle the downloaded annotations into a ZIP file containing individual job annotation exports.
  • Provide a progress indicator to show the status of bulk downloads.
    -Provide a progress indicator to show the status of bulk downloads.

2. Customizable CSV Export for 'CVAT for Images 1.1' Format

Problem:

  • The exported CSV file includes extra columns that may not be necessary for all users.
  • Users often need to perform additional post-processing to clean the data.

Proposed Solution:

  • Introduce a UI option allowing users to select which columns to include in the exported CSV.
  • Implement a preview feature to show sample data before exporting.
  • Enable users to save export preferences for future use.

3. Single vs. Multi-label Classification Option

Problem:

  • There is no clear distinction between single-label and multi-label classification tasks.
  • Users may accidentally override labels when assigning a second tag.

Proposed Solution:

  • Introduce a toggle option in the UI to switch between single-label and multi-label modes.
  • If single-label is selected:
    • Assigning a second tag should trigger a warning:

      "You are about to override the existing tag. Do you want to proceed?"

  • If multi-label is selected:
    • Multiple tags can be assigned without restriction.
  • Provide a visual indication (such as color coding) for active classification mode.

Contribution

  • I am willing to contribute to the Python backend implementation of these features.
  • I need assistance with the front-end implementation (React-based UI components).
  • Please guide me on how to proceed with setting up and contributing to the front-end development.

Looking forward to your guidance and feedback!

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