Consented Activities of People

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/visym-cap-dataset")

fs.listdir("s3://consented-activities-of-people/train/")

Description:

The Consented Activities of People (CAP) dataset is a fine grained activity dataset for visual AI research curated using the Visym Collector platform.

Contact:

The Consented Activities of People (CAP) dataset is a fine grained activity dataset for visual AI research curated using the Visym Collector platform.

Update Frequency:

Not updated

Managed By:

https://visym.com

Resources:

1. resource:
   • Description: The Consented Activities of People (CAP) dataset is a fine grained activity dataset for visual AI research curated using the Visym Collector platform. The CAP dataset contains annotated videos of fine-grained activity classes of consented people. Videos are annotated with bounding box tracks around the primary actor along with temporal start/end frames for each activity instance, and distributed in vipy json format.
   • ARN: arn:aws:s3:::consented-activities-of-people/train/
   • Region: us-west-2
   • Type: S3 Bucket

Tags:

video, computer vision, aws-pds, machine learning, labeled, privacy, activity recognition, activity detection

Tools & Applications:

1. tools & applications:

   • Title: OpenFAD - Open Fine Grained Activity Detection Challenge
   • URL: https://openfad.nist.gov
   • AuthorName: Visym Labs & NIST

2. tools & applications:

   • Title: Visym Collector
   • URL: https://github.com/visym/collector
   • AuthorName: Visym Labs & Systems & Technology Research