[data request] YouTube-8M Segments Dataset

• Name of dataset: YouTube-8M Segments Dataset
• URL of dataset: https://research.google.com/youtube8m/
• License of dataset: Apache License 2.0
• Short description of dataset and use case(s): The YouTube-8M Segments dataset is an extension of the YouTube-8M dataset with human-verified segment annotations. In addition to annotating videos, we would like to temporally localize the entities in the videos, i.e., find out when the entities occur.

We collected human-verified labels on about 237K segments on 1000 classes from the validation set of the YouTube-8M dataset. Each video will again come with time-localized frame-level features so classifier predictions can be made at segment-level granularity. We encourage researchers to leverage the large amount of noisy video-level labels in the training set to train models for temporal localization.

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

Start with the linked guide to adding a dataset and inspect the YouTube-8M Segments dataset documentation and license at the provided URL. Determine the dataset's required TFDS contribution scope; done means the dataset is integrated according to the guide and its validation checks pass.