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.
In hip-hop lore, "I Wish" holds unique historical significance. The track was originally conceptualized as a collaboration featuring . Due to the legendary rapper's untimely death in 1996, the recording never materialized. The subsequent remix format with Boo & Gotti kept that intended street-elegy spirit alive, echoing the themes of 2Pac's own classic "Life Goes On". Behind the Music: Credits and Production
is a poignant R&B and hip-hop tribute track from R. Kelly's fourth solo studio album,
The remix "To The Homies That We Lost" became a cultural phenomenon, topping charts and sparking conversations about mortality, friendship, and the impact of loss on communities. It showcased R. Kelly's ability to blend personal reflection with broader social commentary, a skill that contributed to his success as an artist.
When downloading music, make sure to use a reliable source. This can protect your device from malware. Some platforms to consider include: Download R Kelly I Wish - Remix -to The Homies That We Lost-
Download the song directly to your digital library.
For those looking for a song that perfectly encapsulates the feeling of missing someone, the remains unparalleled.
The "things I should've said way back when we was younger". Loyalty: A steadfast commitment to honoring the deceased. In hip-hop lore, "I Wish" holds unique historical
Decades after its release, listeners still search the internet to download this specific remix, proving that its emotional resonance has not faded. Here is a deep dive into the history, the musicality, and the cultural impact of this timeless tribute track. The Origin: From Personal Grief to Universal Anthem
The song provided a voice for individuals dealing with premature loss due to street violence, poverty, and systemic hardships. It offered comfort by validating the pain of losing a close friend—a "homie"—who felt more like a sibling. Gospel Influence in Secular Music
You can find by R. Kelly on major streaming and digital platforms. Released in November 2000 as part of the album TP-2.com , this track features Boo & Gotti and is a tribute to friends lost to street violence. Where to Stream or Download The subsequent remix format with Boo & Gotti
While the original version of "I Wish" was a general dedication to Kelly's mother, Joanne, and his deceased friends, the focuses specifically on the street-level bonds forged in his hometown of Chicago.
Due to R. Kelly’s extensive legal battles and subsequent convictions, his discography has faced varying levels of restriction across mainstream streaming platforms. This has led many fans to search for physical or downloadable copies to ensure uninterrupted access to the music itself. How to Safely Stream and Find the Song Today
If you absolutely cannot find the original bootleg, consider creating your own tribute. Legally purchase the acapella of “I Wish” (available on instrumental/acapella vinyl releases or through DJ pools). Download a royalty-free dark trap beat or reproduce the 3-note synth loop using a DAW like Audacity (free). Add your own spoken intro naming the homies you lost. This makes the track infinitely more personal than any download.
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.