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Kinetics-600 Dataset
- paperswithcode.com
- opendatalab.com
Updated Apr 21, 2021
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EmailClick to copy linkLink copiedCiteJoao Carreira; Eric Noland; Andras Banki-Horvath; Chloe Hillier; Andrew Zisserman (2021). Kinetics-600 Dataset [Dataset]. https://paperswithcode.com/dataset/kinetics-600Dataset updatedApr 21, 2021AuthorsJoao Carreira; Eric Noland; Andras Banki-Horvath; Chloe Hillier; Andrew ZissermanDescriptionThe Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. The 480K videos are divided into 390K, 30K, 60K for training, validation and test sets, respectively. Each video in the dataset is a 10-second clip of action moment annotated from raw YouTube video. It is an extensions of the Kinetics-400 dataset.
Kinetics 400
- opendatalab.com
zipUpdated Sep 2, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDeepMind (2022). Kinetics 400 [Dataset]. https://opendatalab.com/OpenMMLab/Kinetics-400zip(163566716003 bytes)Available download formatsDataset updatedSep 2, 2022LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. The dataset consists of around 500,000 video clips covering 600 human action classes with at least 600 video clips for each action class. Each video clip lasts around 10 seconds and is labeled with a single action class. The videos are collected from YouTube.
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Kinetics-700 Dataset
- paperswithcode.com
- opendatalab.com
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteKinetics-700 Dataset [Dataset]. https://paperswithcode.com/dataset/kinetics-700AuthorsJoao Carreira; Eric Noland; Chloe Hillier; Andrew ZissermanDescriptionKinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes. 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 700 video clips. Each clip is annotated with an action class and lasts approximately 10 seconds.
1 2 1 attempt kinetics400 links
- kaggle.com
zipUpdated Jun 5, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteNikiforos Vagenas (2024). 1 2 1 attempt kinetics400 links [Dataset]. https://www.kaggle.com/datasets/nikiforosvagenas/1-2-1-attempt-kinetics400-linkszip(19288 bytes)Available download formatsDataset updatedJun 5, 2024AuthorsNikiforos VagenasDescriptionDataset
This dataset was created by Nikiforos Vagenas
Contents
spaghetti-video
- huggingface.co
Updated Aug 12, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHugging Face Internal Testing Organization (2022). spaghetti-video [Dataset]. https://huggingface.co/datasets/hf-internal-testing/spaghetti-videoDataset updatedAug 12, 2022AuthorsHugging Face Internal Testing OrganizationDescriptionThis dataset contains both 8 and 16 sampled frames of the "eating-spaghetti" video of the Kinetics-400 dataset, with the following frame indices being used:
8 frames (eating_spaghetti_8_frames.npy): 97, 98, 99, 100, 101, 102, 103, 104 16 frames (eating_spaghetti.npy): [164, 168, 172, 176, 181, 185, 189, 193, 198, 202, 206, 210, 215, 219, 223, 227]. 32 frames (eating_spaghetti_32_frames.npy): array([ 47, 51, 55… See the full description on the dataset page: https://huggingface.co/datasets/hf-internal-testing/spaghetti-video.
Data from: label-files
- huggingface.co
Updated Dec 23, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCitelabel-files [Dataset]. https://huggingface.co/datasets/huggingface/label-filesCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedDec 23, 2021DescriptionThis repository contains the mapping from integer id's to actual label names (in HuggingFace Transformers typically called id2label) for several datasets. Current datasets include:
ImageNet-1k ImageNet-22k (also called ImageNet-21k as there are 21,843 classes) COCO detection 2017 COCO panoptic 2017 ADE20k (actually, the MIT Scene Parsing benchmark, which is a subset of ADE20k) Cityscapes VQAv2 Kinetics-700 RVL-CDIP PASCAL VOC Kinetics-400 ...
You can read in a label file as follows (using… See the full description on the dataset page: https://huggingface.co/datasets/huggingface/label-files.
2 2 2 attempt kinetics400 instructions 0.1
- kaggle.com
zipUpdated Jun 25, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteVictor Efstatevits (2024). 2 2 2 attempt kinetics400 instructions 0.1 [Dataset]. https://www.kaggle.com/victorefstatevits/2-2-2-attempt-kinetics400-instructions-0-1zip(9934 bytes)Available download formatsDataset updatedJun 25, 2024AuthorsVictor EfstatevitsLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionDataset
This dataset was created by Victor Efstatevits
Released under MIT
Contents
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FacebookTwitterEmailThe Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. The 480K videos are divided into 390K, 30K, 60K for training, validation and test sets, respectively. Each video in the dataset is a 10-second clip of action moment annotated from raw YouTube video. It is an extensions of the Kinetics-400 dataset.