IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research

sounds

General information

Label Value Description
Name IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research Full dataset name
ID sounds/idmt_traffic Datalist id for external indexing
Abbreviation IDMT-Traffic Official dataset abbreviation, e.g. one used in the original paper
Provider Fraunhofer IDMT
Year 2021 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name IDMT-Traffic Common name for all related datasets, used to group datasets coming from same source
Research domain SED Tagging Traffic Monitoring 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 Creative Commons, CC BY-NC 4.0
Download Download (9.0GB)
Companion site Site Link to the companion site for the dataset
Citation [Abeßer2021] IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research

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 32 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 48 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
Setup Stereo Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 2
Material
Source Original Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]
Variability sources speed limit weather/road conditions daytime Possible values: Country | City | Location | Position | Device

Content

Content type Freefield Possible values: Freefield | Synthetic | Isolated
Scene Constant Is the scene class constant for single recording, possible values: Constant | Variable
Event / Spatial location Moving Possible values: Constant | Moving | Unknown

Recording

Setup Uncontrolled Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Setup count 2 Amount of different recording setups (microphone and recording device) used
Spot type Fixed Possible values: Fixed | Moving | Unknown

Files

Count 17506 files Total number of files
Total duration (minutes) 583.53 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) 2 sec Approximate length of files

Meta

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

Scene

Classes 1 Number of scene classes

Event

Classes 4 Number of event classes
Classes False Possible values: True | False | Almost
Classes
  • car
  • truck
  • bus
  • motorcycle
Annotation
Type Weak Possible values: Strong | Weak | Location | None
Source Experts 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
Validated amount (%) 100 % Percentage of all data, amount of data which is validated by human
Strong annotations amount (%) 100 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances Yes
Labeling
Hierarchical No
Instance
Count 4718 Count of all event instances in the dataset
Average instances per class 1179.5 Average per class instance count

Cross-validation setup

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