Audio Sensing for Pedestrian Detection Dataset

sounds

General information

Label Value Description
Name Audio Sensing for Pedestrian Detection Dataset Full dataset name
ID sounds/asped Datalist id for external indexing
Abbreviation ASPED Official dataset abbreviation, e.g. one used in the original paper
Year 2024 Dataset release year
Modalities Audio Video Data modalities included in the dataset
Collection name ASPED dataset Common name for all related datasets, used to group datasets coming from same source
Research domain Weak annotation 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 (580GB)
Companion site Site Link to the companion site for the dataset
Citation [Seshadri2024] ASPED: AN AUDIO DATASET FOR DETECTING PEDESTRIANS

Audio

Label Value Description

Data

Data type Audio Possible values: Audio | Features
File format
File format type Constant Possible values: Constant | Variable
File format flac 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) 44.1 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 Freefield Possible values: Freefield | Synthetic | Isolated
Scene Constant Is the scene class constant for single recording, possible values: Constant | Variable
Event / Spatial location Constant Possible values: Constant | Moving | Unknown

Recording

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

Files

Count 75 files Total number of files
Total duration (minutes) 156000 min Total duration of the dataset in minutes
File length Variable Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable

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

Classes 1 Number of scene classes
Classes True Possible values: True | False | Almost

Event

Classes 1 Number of event classes
Classes False Possible values: True | False | Almost
Classes
  • pedestrian_count
Annotation
Type Strong Possible values: Strong | Weak | Location | None
Source Automatic 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

Cross-validation setup

Label Value Description
Provided No

Baseline

Label Value Description
Download Download Link to baseline system source code