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.
The existence of groups like the Eteima Bonny Wari 14 ensures that the Ibani language and customs do not fade away in an increasingly globalized world. By formalizing these groups, the kingdom creates a structure where history is lived, not just read in books.
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The Bonny Kingdom is one of the most prominent traditional states in the Niger Delta. Known for its strategic role in historical trade and its resilient monarchy, the kingdom thrives on a "House System" (Wari). Eteima Bonny Wari 14
The Eteima Bonny Wari 14 is more than a name; it is a testament to the enduring spirit of the Bonny people. Through their unity, style, and devotion to tradition, they remind the world that deep roots are the secret to a flourishing future.
Participants wear the traditional "Don" or "Woko" paired with expensive George wrappers and coral beads. The existence of groups like the Eteima Bonny
These groups bring together individuals to work for the betterment of the kingdom.
The Eteima lineage or group within this system plays a vital role in maintaining the social fabric. The "14" often signifies a specific numerical grouping—perhaps a graduating class of an age grade or a specific sub-division of a family house that has reached a level of communal recognition. Cultural Significance and Rites of Passage The Bonny Kingdom is one of the most
The Eteima Bonny Wari 14 represents a significant milestone in the preservation and celebration of Bonny Kingdom’s rich cultural heritage. As a centerpiece of traditional festivities, this specific designation often refers to a particular age grade, a house lineage, or a ceremonial group within the vibrant social hierarchy of the Ibani people.
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.