AVE: The Audio-Visual Event Dataset

sounds

General information

Label Value Description
Name AVE: The Audio-Visual Event Dataset Full dataset name
ID sounds/ave Datalist id for external indexing
Abbreviation AVE Official dataset abbreviation, e.g. one used in the original paper
Provider UR
Year 2018 Dataset release year
Modalities Audio Video Data modalities included in the dataset
Collection name AVE Common name for all related datasets, used to group datasets coming from same source
Research domain SED Audio-visual Related domains, e.g., Scenes, Mobile devices, Audio-visual, Open set, Ambient noise, Unlabelled, Multiple sensors, SED, SELD, Tagging, FL, Strong annotation, Weak annotation, Unlabelled, Multi-annotator
Related datasets name
Download Download (None)
Companion site Site Link to the companion site for the dataset
Citation [Tian2018] Audio-Visual Event Localization in Unconstrained Videos

Audio

Label Value Description

Data

Data type Audio Features Possible values: Audio | Features
File format
File format type Constant Possible values: Constant | Variable
Lossy compression Yes is audio compressed in a lossy manner
Channels
Setup Mono Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 1
Material
Source Youtube Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Freefield Possible values: Freefield | Synthetic | Isolated

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Spot type Unknown Possible values: Fixed | Moving | Unknown

Files

Count 4143 files Total number of files
Total duration (minutes) 690.5 min Total duration of the dataset in minutes
File length Constant Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable
File length (seconds) 10 sec Approximate length of files

Meta

Label Value Description
Types Event List of meta data types provided for the data, possible values: Event, Tag, Scene, Caption, Geolocation, Spatial location, Annotator, Timestamp, Presence, Proximity, etc.

Scene

Event

Classes 28 Number of event classes
Annotation
Type Strong Possible values: Strong | Weak | Location | None
Annotations per item 1 How many annotations there are available per item (possible multi-annotator setup)
Labelled amount (%) 100 % Percentage of all data, amount of data which is labelled
Strong annotations amount (%) 100 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances Yes
Labeling
Hierarchical Yes
Ontology name Yes
Instance
Count 4143 Count of all event instances in the dataset
Average instances per class 147.964285714 Average per class instance count

Cross-validation setup

Label Value Description
Provided Yes
Folds 1
Sets Train Val Test Set types provided in the split, possible values: Train | Test | Val | Dev | Eval

Baseline

Label Value Description
Download Download Link to baseline system source code
Citation [Tian2018] Paper to cite for the baseline