Data · dataset · 2019
Data for: Face analysis through semantic face segmentation
Listed in Teesside University Research Data Repository
The FASSEG repository is composed by three datasets containing face images useful for training and testing automatic methods for the task of face segmentation.
Description
Two datasets, namely frontal01 and frontal02, are specifically built for performing frontal face segmentation. Frontal01 contains 70 original RGB images and the corresponding roughly labelled ground-truth masks.
Frontal02 contains the same image data, with high-precision labelled ground-truth masks. The third dataset, namely Multipose01, contains more than 200 faces in multiple poses and the corresponding ground-truth masks. For all face images, ground-truth mask data are labelled on six classes (mouth, nose, eyes, hair, skin, and background).
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All images of each dataset come organized in two subfolders - train and test – for enabling comparisons between different segmentation methods on the same datasets.
Links
Where it is published
- DOI doi.org/10.17632/8yjv7b3hgr.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Image processing · Life Sciences · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/8yjv7b3hgr.2 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |