Imaging · dataset · 2019
JPL Mars Yard Database
Listed in CaltechDATA
JPL Mars Yard Database is built to understand terrain types from various sensors, such as RGB and IR.
Description
It has 2 datasets; 1. Semantic Dataset 1: Understanding Terrain Types from RGB and IR, 2.
Virtual Sensor Dataset 1: Deriving RGB-to-IR mapping models. Both datasets were collected at JPL Mars Yard on Nov. 17th 2017, with a RGB camera (FLIR Grasshopper 5M) and a thermal camera (FLIR AX65). We collected images every 1 hour, from 10 am till 5 pm (sunset), totally 8 times.
Read the rest (1 more)
Total number of images at each time is about 52 images, by changing the position of the cameras. The dataset includes challenging images such as shadows, reflection due to the Sun, and direct sunlight into the cameras.
Links
Where it is published
- CaltechDATA record data.caltech.edu/records/4vx4w-j7627 ↗
landing page · from data caltech edu
- DOI doi.org/10.22002/d1.1332 ↗
DOI / persistent id · from data caltech edu
Catalogue records · 1
- InvenioRDM API data.caltech.edu/api/records/4vx4w-j7627 ↗
metadata API · from data caltech edu
Topics
- Stated by source
- imaging · Mars · terrain · training · validation
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Imaging · Life Sciences · Social Science
- Inferred from text
- Image 65%
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| CaltechDATA | 4vx4w-j7627 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:engineering | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:humanities | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:social-science | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · data caltech edu | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:imaging | mapping · data caltech edu | vocabulary-mapper@1.0.0 | keywords['imaging'] |
| concepts[topic].invenio_subject:data_caltech_edu:imaging | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:mars | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:terrain | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:training | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:validation | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| description | source · data caltech edu | connector:data_caltech_edu@1.0.0 | /metadata/description |
| publication_date | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| title | source · data caltech edu | connector:data_caltech_edu@1.0.0 | /metadata/title |
| updated_date | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| version_label | source · data caltech edu | connector:data_caltech_edu@1.0.0 |