General information | |||||
| Label | Value | Description | |||
|---|---|---|---|---|---|
| Name | DCASE2018 Task 4 dataset | Full dataset name | |||
| ID | sounds/dcase2018_task4 | Datalist id for external indexing | |||
| Abbreviation | DCASE2018-SED | Official dataset abbreviation, e.g. one used in the original paper | |||
| Year | 2018 | Dataset release year | |||
| Modalities | Audio Video | Data modalities included in the dataset | |||
| Research domain | SED Tagging Domestic Weak annotation Unlabelled 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 (82GB) | ||||
| Citation | [Serizel2018] Large-scale weakly labeled semi-supervised sound event detection in domestic environments | ||||
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 | |||
| Sampling rate (kHz) | 44.1 kHz | Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48 | |||
Channels | |||||
Material | |||||
| Source | Youtube | Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name] | |||
Content | |||||
| Scene | Variable | Is the scene class constant for single recording, possible values: Constant | Variable | |||
| Event / Spatial location | Unknown | Possible values: Constant | Moving | Unknown | |||
Recording | |||||
| Setup | Unknown | Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown | |||
| Spot type | Unknown | Possible values: Fixed | Moving | Unknown | |||
Files | |||||
| Count | 59621 files | Total number of files | |||
| Total duration (minutes) | 9936.8 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 Tag | 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 | 10 | Number of event classes | |||
| Classes | False | Possible values: True | False | Almost | |||
Annotation | |||||
| Type | Strong Weak None | 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 (%) | 3.1297 % | Percentage of all data, amount of data which is labelled | |||
| Strong annotations amount (%) | 0.48305 % | Percentage of all data, amount of data which has strong annotations | |||
| Overlapping event instances | Yes | ||||
Labeling | |||||
| Hierarchical | No | ||||
Instance | |||||
| Count | 3150 | Count of all event instances in the dataset | |||
| Average instances per class | 315 | Average per class instance count | |||
Cross-validation setup | |||||
| Label | Value | Description | |||
| Provided | Yes | ||||
| Folds | 1 | ||||
| Sets | Train Test Eval | 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 | [Serizel2018] | Paper to cite for the baseline | |||
Info | |||||
| Label | Value | Description | |||
| Evaluation campaign | DCASE2018 task4 | Evaluation campaigns where the dataset was used. | |||