For instance, the YOLOv8n model achieves a mAP (mean Average Precision) of 37.3 on the COCO dataset and a speed of 0.99 ms on A100 TensorRT. Detailed performance metrics for …

Ultralytics creates cutting-edge, state-of-the-art (SOTA) YOLO models built on years of foundational research in computer vision and AI. Constantly updated for performance and …

ONNX models yolov11n-face.onnx yolov10n-face.onnx yolov8n-face.onnx To convert models to .onnx format:

It does not include any training or fine-tuning; instead, it uses pre-trained models. The implementation is provided in two ways: via command-line execution and Python scripting. To …

Dec 2, 2023 · Release Notes [2024-11-01] Re-saved and re-uploaded PyTorch models to avoid the dill package usage warning. [2023-12-09] YOLOv8x-Face model has been added. [2023 …

from ultralytics import YOLO # 加载模型 model = YOLO ("yolov8n.yaml") # 从头开始构建新模型 model = YOLO ("yolov8n.pt") # 加载预训练模型（推荐用于训练） # Use the model results = …

from ultralytics import YOLO # Load a model model = YOLO ("yolov8n.yaml") # build a new model from scratch model = YOLO ("yolov8n.pt") # load a pretrained model (recommended for …

from ultralytics import YOLO # Load a model model = YOLO ("yolov8n.yaml") # build a new model from scratch model = YOLO ("yolov8n.pt") # load a pretrained model (recommended for …

from ultralytics import YOLO # Load a model model = YOLO ("yolov8n.yaml") # build a new model from scratch model = YOLO ("yolov8n.pt") # load a pretrained model (recommended for …

Jan 10, 2023 · Model structure of YOLOv8 detection models (P5) - yolov8n/s/m/l/x: Changes compared to YOLOv5: Replace the C3 module with the C2f module Replace the first 6x6 Conv …