Statements (50)
Predicate | Object |
---|---|
gptkbp:instanceOf |
Computer Vision Task
|
gptkbp:application |
gptkb:Medical_Imaging
Autonomous Vehicles Object Detection Satellite Image Analysis Scene Understanding |
gptkbp:challenge |
gptkb:music
Occlusion Complex Backgrounds Varying Illumination |
gptkbp:deep_learning_model |
gptkb:U-Net
gptkb:Mask_R-CNN gptkb:FCN_(Fully_Convolutional_Network) |
gptkbp:evaluation_metric |
gptkb:Dice_Coefficient
gptkb:Intersection_over_Union_(IoU) Pixel Accuracy |
gptkbp:field |
gptkb:Computer_Vision
gptkb:artificial_intelligence Image Processing |
gptkbp:goal |
Partitioning an image into segments
|
https://www.w3.org/2000/01/rdf-schema#label |
Image Segmentation
|
gptkbp:input |
Digital Image
|
gptkbp:method |
Deep Learning
Edge Detection Clustering Graph-based Segmentation Region Growing Thresholding Watershed Algorithm |
gptkbp:output |
Segmented Image
|
gptkbp:relatedConcept |
Object Detection
Image Annotation Image Classification |
gptkbp:trainer |
gptkb:COCO
gptkb:Cityscapes gptkb:ADE20K gptkb:ISIC gptkb:PASCAL_VOC |
gptkbp:type |
Instance Segmentation
Panoptic Segmentation Semantic Segmentation |
gptkbp:used_in |
gptkb:robot
gptkb:Remote_Sensing Agriculture Medical Diagnosis Augmented Reality Industrial Inspection Video Surveillance |
gptkbp:bfsParent |
gptkb:convolutional_neural_network
|
gptkbp:bfsLayer |
5
|