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.
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.
Babu is a notable 2024 entry in Marathi cinema, directed by Mayur Madhukar Shinde and starring Ankit Mohan in the titular lead role, alongside Ruchira Jadhav and Neha Mahajan. The film is an action-heavy drama set against the backdrop of coastal Maharashtra (Konkan), centering on a powerful protagonist who stands up against local injustice, political corruption, and criminal syndicates to protect his community.
Furthermore, because an is inherently flawed—frequently featuring minor lens distortions, color balance shifts, or silhouettes of theater attendees—compressing it into a heavy 1080p file yields little benefit. The 480p container reduces the file size to roughly 300 to 400 Megabytes, matching the exact bandwidth threshold for rapid peer-to-peer distribution. The Socio-Economic Hit on Regional Cinema atishmkv+babu+2024+marathi+hdts+480p+x264+a
: The official release year of the movie, used to distinguish it from older films with the same or similar titles. Babu is a notable 2024 entry in Marathi
: Reviews were generally mixed to poor. Critics noted ordinary dialogue and a confusing screenplay, though Ankit Mohan's performance was praised. On user-driven platforms like BookMyShow , it holds a higher rating from fans of the genre. Box Office The 480p container reduces the file size to
We are living in the era of 4K and 8K smart TVs. However, this file is .
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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.