Object Detection and Segmentation with YOLOv8

Installation

pip install ultralytics

Object Detection in Photo

CLI (Command Line Interface)

yolo detect predict model=yolov8x.pt source="img.jpg" save=True

Python

from ultralytics import YOLO

model = YOLO('yolov8x.pt')
results = model('img.jpg', save=True)

Example

Image

Object Detection Image

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Object Segmentation in Photo

CLI (Command Line Interface)

yolo task=segment mode=predict model=yolov8x-seg.pt source='img.jpg' save=true

Python

from ultralytics import YOLO

model = YOLO('yolov8x-seg.pt')
results = model('img.jpg', save=True)

Example

Images

Object Segmentation Image

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Object Detection in Video

CLI (Comman Line Interface)

yolo detect predict model=yolov8x.pt source="video.mp4" save=True

Python

from ultralytics import YOLO

model = YOLO('yolov8x.pt')
results = model('video.mp4', save=True)

Example

Video

Object Detection Video

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Object Segmentation in Video

CLI (Comman Line Interface)

yolo task=segment mode=predict model=yolov8x-seg.pt source='video.mp4' save=true

Python

from ultralytics import YOLO

model = YOLO('yolov8x-seg.pt')
results = model('video.mp4', save=True)

Example

Video

Object Segmentation Video

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Real Time Object Detection

CLI (Command Line Interface)

yolo detect predict model=yolov8x.pt source=0 show=True

Python

from ultralytics import YOLO

model = YOLO('yolov8x.pt')
model.predict(source="0", show=True)

Example

Real Time Object Detection

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Real Time Object Segmentation

CLI (Command Line Interface)

yolo task=segment mode=predict model=yolov8x-seg.pt source='0' show=True

Python

from ultralytics import YOLO

model = YOLO('yolov8x-seg.pt')
model.predict(source="0", show=True)

Example

Real Time Object Segmentation