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gptkbp:instanceOf
|
object detection model
|
|
gptkbp:developedBy
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gptkb:Ultralytics
|
|
gptkbp:documentation
|
https://docs.ultralytics.com/models/yolov8/
|
|
gptkbp:exportedTo
|
gptkb:OpenVINO
gptkb:TensorRT
gptkb:PaddlePaddle
gptkb:CoreML
gptkb:ONNX
gptkb:TF.js
gptkb:TFLite
|
|
gptkbp:format
|
gptkb:DVD
gptkb:illustrator
gptkb:photographer
gptkb:stream
|
|
gptkbp:hasVariant
|
gptkb:YOLOv8l
gptkb:YOLOv8m
gptkb:YOLOv8n
gptkb:YOLOv8s
gptkb:YOLOv8x
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLOv8
|
|
gptkbp:language
|
gptkb:Python
|
|
gptkbp:license
|
GPL-3.0
|
|
gptkbp:memiliki_tugas
|
image classification
image segmentation
object detection
|
|
gptkbp:notableFeature
|
modular architecture
multi-task learning
improved speed
improved accuracy
easy deployment
anchor-free design
auto-learning bounding boxes
support for custom datasets
|
|
gptkbp:officialWebsite
|
https://ultralytics.com/
|
|
gptkbp:openSource
|
true
|
|
gptkbp:platform
|
gptkb:PyTorch
|
|
gptkbp:predecessor
|
gptkb:YOLOv7
|
|
gptkbp:releaseDate
|
2023-01-10
|
|
gptkbp:repository
|
https://github.com/ultralytics/ultralytics
|
|
gptkbp:usedFor
|
agriculture
autonomous vehicles
industrial automation
robotics
medical imaging
video analytics
retail analytics
real-time object detection
security surveillance
|
|
gptkbp:bfsParent
|
gptkb:PaddleDetection
gptkb:YOLO
|
|
gptkbp:bfsLayer
|
6
|