YOLOv8 Object Detection + Instance Segmentation
Yolov8 - This video shows the object detection and instance segmentation prediction results on a video using the Ultralytics YOLOv8x model.
YOLOv8 is the latest family of YOLO based Object Detection models from Ultralytics providing state-of-the-art performance.
What’s New in YOLOv8
Ultralytics have released a completely new repository for YOLO Models. It is built as a unified framework for training Object Detection, Instance Segmentation, and Image Classification models.
Here are some key features about the new release:
User-friendly API (Command Line + Python).
Faster and More Accurate.
Supports
Object Detection,
Instance Segmentation,
Image Classification.
Extensible to all previous versions.
New Backbone network.
New Anchor-Free head.
New Loss Function.
YOLOv8 is also highly efficient and flexible, supporting numerous export formats, and the model can run on CPUs & GPUs.
Resources:
📚 Blog post Link: https://learnopencv.com/ultralytics-y...
🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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