Audio Events Data Set for Road Surveillance Applications

sounds

General information

Label Value Description
Name Audio Events Data Set for Road Surveillance Applications Full dataset name
ID sounds/mivia_aed_road Datalist id for external indexing
Abbreviation MIVIA-AED-ROAD Official dataset abbreviation, e.g. one used in the original paper
Provider MIVIA
Year 2014 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name MIVIA Common name for all related datasets, used to group datasets coming from same source
Research domain SED Strong annotation Traffic 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
License Free
Download Download
Companion site Site Link to the companion site for the dataset
Citation [Foggia2014] Cascade Classifiers Trained on Gammatonegrams for Reliably Detecting Audio Events

Audio

Label Value Description

Data

Data type Audio Possible values: Audio | Features
File format
File format type Constant Possible values: Constant | Variable
File format wav Possible value: wav | aiff | flac | mp3 | aac | ogg
Lossy compression No is audio compressed in a lossy manner
Bit rate 16 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 32 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
Setup Mono Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 1
Material
Source Original Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Synthetic Possible values: Freefield | Synthetic | Isolated
Scene Constant Is the scene class constant for single recording, possible values: Constant | Variable

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Setup count 1 Amount of different recording setups (microphone and recording device) used
Spot type Fixed Possible values: Fixed | Moving | Unknown

Files

Count 57 files Total number of files
Total duration (minutes) 60 min Total duration of the dataset in minutes

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.

Event

Classes 2 Number of event classes
Classes True Possible values: True | False | Almost
Classes
  • car crash
  • tire skidding
Annotation
Type Strong Possible values: Strong | Weak | Location | None
Source Synthetic Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
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 No
Labeling
Hierarchical No
Instance
Count 400 Count of all event instances in the dataset
Average instances per class 200 Average per class instance count

Cross-validation setup

Label Value Description
Provided Yes
Folds 4
Sets Train Test Set types provided in the split, possible values: Train | Test | Val | Dev | Eval