The goal of the Kinetics dataset is to help the computer vision and machine learning communities advance models for video understanding. Given this large human action classification dataset, it may be possible to learn powerful video representations that transfer to different video tasks.

For information related to this task, please contact:

Dataset

The Kinetics-700-2020 dataset will be used for this challenge. Kinetics-700-2020 is a large-scale, high-quality dataset of YouTube video URLs which include a diverse range of human focused actions. The aim of the Kinetics dataset is to help the machine learning community create more advanced models for video understanding. It is an approximate super-set of both Kinetics-400, released in 2017, Kinetics-600, released in 2018 and Kinetics-700, released in 2019.

The dataset consists of approximately 650,000 video clips, and covers 700 human action classes with at least 700 video clips for each action class. Each clip lasts around 10 seconds and is labeled with a single class. All of the clips have been through multiple rounds of human annotation, and each is taken from a unique YouTube video. The actions cover a broad range of classes including human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging.

More information about how to download the Kinetics dataset is available here.

Mkvcinemas Mom

The most straightforward interpretation is that the user is searching for a film titled "Mom" on the MkvCinemas platform. There is a famous 2017 Bollywood thriller titled Mom, starring Sridevi. It tells the story of a mother seeking justice for her stepdaughter. Given that MkvCinemas is a hub for Bollywood and dubbed Hollywood content, a user might type "mkvcinemas mom" to download this specific film.

MKVCinemas MOM refers to a section or release-type associated with MKVCinemas, a site known for distributing movie files (often in MKV format). Below is a concise, practical blog-style overview you can use.

When a user types "mkvcinemas mom" into a search engine, they are likely looking for one of three things: mkvcinemas mom

In many parts of India and Southeast Asia, high-speed unlimited data is still a luxury. MKV files are engineered for bandwidth scarcity. A 1.5GB MKV file can be downloaded overnight on a slow connection and watched the next day. "Mkvcinemas mom" is code for "give me the highest quality file for the lowest data cost."

MKV Cinemas is known among users for providing free movie downloads. However, it's essential to note that downloading copyrighted material without proper authorization is illegal in many jurisdictions around the world. The most straightforward interpretation is that the user

If your search for "mkvcinemas mom" is driven by a desire to watch old movies, specifically the 2017 film Mom (starring Sridevi), you are in luck. The movie is available legally and safely on multiple platforms.

Here is how to watch movies like Mom without risking a virus or a legal notice: Given that MkvCinemas is a hub for Bollywood

For South Indian dubbed movies and Hollywood blockbusters, consider:

FAQ

1. Possible to use ImageNet checkpoints?
We allow finetuning from public ImageNet checkpoints for the supervised track -- but a link to the specific checkpoint should be provided with each submission.

2. Possible to use optical flow?
Flow can be used as long as not trained on external datasets, except if they are synthetic.

3. Can we train on test data without labels (e.g. transductive)?
No.

4. Can we use semantic class label information?
Yes, for the supervised track.

5. Will there be special tracks for methods using fewer FLOPs / small models or just RGB vs RGB+Audio in the self-supervised track?
We will ask participants to provide the total number of model parameters and the modalities used and plan to create special mentions for those doing well in each setting, but not specific tracks.