Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
dataset
|
| gptkbp:availableFormats |
JPEG
XML PASCAL VOC XML format |
| gptkbp:challenges |
classification challenge
object detection challenge segmentation challenge |
| gptkbp:class |
20
|
| gptkbp:collaborations |
gptkb:University_of_California,_Berkeley
gptkb:University_of_Oxford gptkb:Google gptkb:ETH_Zurich gptkb:Microsoft_Research |
| gptkbp:contains |
annotations
evaluation metrics image datasets |
| gptkbp:contributedTo |
benchmarking algorithms
|
| gptkbp:createdBy |
gptkb:Pascal_Visual_Object_Classes_Challenge
|
| gptkbp:dataBusWidth |
over 20,000 images
|
| gptkbp:dataUsage |
test
train standardized val |
| gptkbp:documentType |
natural images
|
| gptkbp:evaluates |
Precision
Recall mean Average Precision (mAP) Intersection_over_Union_(IoU) |
| gptkbp:famousFor |
computer vision community
|
| gptkbp:hasResearchInterest |
machine learning
object recognition computer vision tasks |
| https://www.w3.org/2000/01/rdf-schema#label |
Pascal VOC
|
| gptkbp:impact |
augmented reality
robotics virtual reality surveillance systems autonomous vehicles |
| gptkbp:influenced |
Deep Learning models
|
| gptkbp:influencedBy |
gptkb:ImageNet
|
| gptkbp:productionYears |
annual
|
| gptkbp:recordings |
varied
|
| gptkbp:revenue |
2007
2012 |
| gptkbp:structureType |
bounding boxes
segmentation masks |
| gptkbp:successor |
COCO
|
| gptkbp:type |
unstructured data
labeled data structured data unlabeled data |
| gptkbp:usedFor |
object detection
image segmentation object classification |
| gptkbp:website |
http://host.robots.ox.ac.uk/pascal/VOC/
|