[Documentation]: Improve get-started document of data collection

[reiase]

What kind of documentation would you like added or changed?

Provide useful code examples in the get-started documents to help the users to finish their daily work.

• [ ] a list of daily tasks for machine learning researchers and data scientists;

  • [ ] MLOPs support, help the user to manage their machine learning application life cycle;
  • [ ] computer vision tasks;
  • [ ] nlp tasks;

• [ ] polish core APIs and towhee operators for these tasks;

MLOPs support

This blog describes common workflow for a machine learning application. It has a number of well known steps:

• [ ] Define Problem;
• [x] Prepare Data;
• [x] Evaluate Algorithms;
• [x] Improve Results;
  • [ ] feature engineering;
  • [ ] model engineering;
• [x] Present Results;

DataCollection API should be able to cover most of these steps.

Computer Vision Tasks

• [x] ImageClassification
• [ ] ImageSegmentation
• [ ] ObjectDetection

NLP Tasks

• [ ] TextClassification
• [x] TextGeneration
• [ ] QuestionAnswering
• [ ] Translation

[reiase]

I put an initial list of tasks in the get started doc: https://github.com/towhee-io/towhee/blob/main/docs/get-started/data-collection.md#examples

We need to complete this task list with @shiyu22, @fzliu and @soulteary

[stale[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. Rotten issues close after 30d of inactivity. Close the stale issues and pull requests after 7 days of inactivity. Reopen the issue with /reopen.

[stale[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. Rotten issues close after 30d of inactivity. Close the stale issues and pull requests after 7 days of inactivity. Reopen the issue with /reopen.