tensorflow / tensorflow/datasets

[data request] Kinetics

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dataset request
Dominant language
Python
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Description

  • Name of dataset: Kinetics400, Kinetics600, Kinetics700
  • URL of dataset: https://www.deepmind.com/open-source/kinetics
  • License of dataset: licensed by Google Inc. under a Creative Commons Attribution 4.0 International License
  • Short description of dataset and use case(s): A collection of large-scale, high-quality datasets of URL links of up to 650,000 video clips that cover 400/600/700 human action classes, depending on the dataset version. The videos include human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging. Each action class has at least 400/600/700 video clips. Each clip is human annotated with a single action class and lasts around 10 seconds.‍ Uses cases are mostly for video classification and video representation learning.

I saw this issue was opened in 2019 (https://github.com/tensorflow/datasets/issues/139#issue-416828841), however, since there is still no update, opened a new issue. I am at the same time working on adding this dataset to tfds, and if I make progress, I will write an update.

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with docs/add_dataset.md, the guide linked in the issue, and review the Kinetics400, Kinetics600, and Kinetics700 dataset details, URL, and license. Done means the requested Kinetics dataset contribution is added to tensorflow/datasets with its video-classification and representation-learning use cases supported.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
data, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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