Statements (73)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:KITTI_dataset
|
| gptkbp:collaborated_with |
government agencies
data scientists industry partners various universities open source communities |
| gptkbp:collaborations |
crowdsourced annotations
|
| gptkbp:contains |
images
|
| gptkbp:created_by |
gptkb:starship
|
| gptkbp:features |
diverse environments
|
| gptkbp:focuses_on |
street-level imagery
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mapillary Vistas dataset
|
| gptkbp:includes |
urban scenes
|
| gptkbp:is_accessible_by |
gptkb:API
|
| gptkbp:is_analyzed_in |
gptkb:metropolitan_area
traffic analysis urban mobility safety assessments urban infrastructure. |
| gptkbp:is_available_on |
Mapillary website
|
| gptkbp:is_cited_in |
academic papers
|
| gptkbp:is_documented_in |
case studies
research publications technical reports user guides semantic labels |
| gptkbp:is_evaluated_by |
AI competitions
competitions research evaluations data challenges benchmark challenges |
| gptkbp:is_featured_in |
data science conferences
|
| gptkbp:is_integrated_with |
data visualization tools
machine learning frameworks GIS tools |
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_part_of |
gptkb:Mapillary_project
open data initiatives data repositories computer vision datasets open datasets for AI |
| gptkbp:is_promoted_by |
social media
workshops research organizations Mapillary team |
| gptkbp:is_referenced_in |
gptkb:document
AI research papers machine learning literature |
| gptkbp:is_related_to |
image segmentation
|
| gptkbp:is_supported_by |
grants
non-profit organizations academic institutions community contributions funding agencies |
| gptkbp:is_tested_for |
image recognition algorithms
|
| gptkbp:is_used_by |
gptkb:physicist
|
| gptkbp:is_used_for |
computer vision
object detection scene understanding |
| gptkbp:is_used_in |
AI training
|
| gptkbp:is_utilized_in |
gptkb:software
data analysis environmental studies startups image classification autonomous driving research |
| gptkbp:length |
over 25,000 images
|
| gptkbp:provides |
annotations
|
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:supports |
gptkb:software_framework
|
| gptkbp:training |
deep learning models
|