X-AnyLabeling 作为一款与时俱进的AI视觉标定工具,X-AnyLabeling v2.4.4 版本现以全面集成 YOLO11 全系列模型,首批上线包括以下功能: 图像分类 yolo11-cls 目标检测 yolo11-det 实例分割 yolo11-seg 关键点检测 yolo11-pose 旋转目标检测 yolo11-obb 同时,针对不同的任务也适配了对应的跟踪算法,欢迎尝试: 项...
| |-- yolov8-pose-p6.yaml # YOLOv8 关键点/人体姿态估计模型(可选规格有:n、s、m、l、x),使用的后处理模块为 Pose,使用的预测特征图为 P3, P4, P5, P6,增加对大目标的估计能力 | |-- yolov8-rtdetr.yaml # YOLOv8 加上 RT-DETR 的目标检测模型(可选规格有:n、s、m、l、x),使用的后处理...
Real-World Project #2: Weather Image/Video Classification using YOLOv8 Real-World Project #3: Coffee Leaf Diseases Segmentation using YOLOv8 Real-World Project #4: Squat Counter based on YOLOv7 Pose Estimation Real World Project #5: Various Vehicle Counter and Speed Estimation Web App with Cool...
Our key integrations with leading AI platforms extend the functionality of Ultralytics' offerings, enhancing tasks like dataset labeling, training, visualization, and model management. Discover how Ultralytics, in collaboration with partners like Weights & Biases, Comet ML, Roboflow, and Intel OpenVINO...
ODLabel is a powerful tool for zero-shot object detection, labeling and visualization. It provides an intuitive graphical user interface for labeling objects in images using the YOLO-World model and supports various output formats such as YOLO, COCO, CSV, and XML. computer-vision yolo object-det...
X-AnyLabeling 作为一款与时俱进的AI视觉标定工具,X-AnyLabeling v2.4.4 版本现以全面集成 YOLO11 全系列模型,首批上线包括以下功能: 图像分类 yolo11-cls 目标检测 yolo11-det 实例分割 yolo11-seg 关键点检测 yolo11-pose 旋转目标检测 yolo11-obb 同时,针对不同的任务也适配了对应的跟踪算法,欢迎尝试: 项...
The anomalies can be mitigated by correctly labeling the annotations, which could improve the metrics for the existing models. Furthermore, we have also seen thatYOLOv8 mediumperforms better in visualizations thanYOLOv8 large, even though the metrics are slightly higher thanYOLOv8m. ...
[property]gpu-id=0net-scale-factor=1.0offsets=103.939;116.779;123.68model-color-format=1labelfile-path=<Pathtoyolov3_labels.txt>model-engine-file=<PATHtogeneratedTensorRTengine>infer-dims=3;384;1248maintain-aspect-ratio=1uff-input-order=0uff-input-blob-name=Inputbatch-size=1## 0=FP32, 1=...
With the required dependencies installed, we are ready to start labeling data. Step #2: Label Data To train a keypoint detection model, you need to label keypoints on an image. These keypoints map to specific points on an image. For our model, we will label images of glue sticks with...
Estimate and track object poses with the NVIDIA TAO FoundationPose model Open vocabulary object detection with NVIDIA Grounding-DINO Use text prompts for auto-labeling with NVIDIA TAO Visualize model training with TensorBoard Developer blogs Webinars Support Information TAO Launcher Running the...