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Keywords {🔍}

dataset, hand, keypoints, images, training, model, yolo, train, ultralytics, pose, yaml, file, models, handkeypoints, annotations, estimation, finger, coco, key, features, applications, points, val, image, datasets, structure, hands, annotated, information, epochs, refer, cli, load, section, tasks, objects, usage, includes, keypoint, detailed, validation, gesture, recognition, robotic, classes, handkeypointsyaml, pathtoimgs, list, path, comprehensive,

Topics {✒️}

/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/hand-keypoints top previous tiger-pose ultralytics/cfg/datasets/hand-keypoints hand detection pose estimation tasks medical diagnostics /ultralytics/assets/releases/download/v0 yolo train data=hand-keypoints yolo11n-pose model yolo11n-pose //docs enhancing human-computer interaction ultralytics yolo hand keypoints estimation hand keypoints dataset hand-keypoints dataset ultralytics yolo11 formats hand keypoint dataset dataset structure section hand movement analysis analyzing hand movements ultralytics yolo11 hand-keypoints 0/hand-keypoints sample images dataset includes keypoints hand keypoint annotations yolo11 models key features human hands annotated enabling precise control training models dataset yaml section google mediapipe library ensuring high accuracy ar/vr controls touchless control interfaces //ultralytics ultralytics respective licenses provided improving user experience dataset structure command line interface enhancing security systems dataset yaml file combines multiple images mosaiced dataset images biometric authentication systems zip usage vision ai research

Questions {❓}

• How do I train a YOLO11 model on the Hand Keypoints dataset?
• How do I use the dataset YAML file for training?
• How is the Hand Keypoints dataset structured?
• What applications can benefit from using the Hand Keypoints dataset?
• What are the key features of the Hand Keypoints dataset?

Schema {🗺️}

["Article","FAQPage"]:
      context:https://schema.org
      headline:Hand-keypoints
      image:
         https://github.com/ultralytics/docs/releases/download/0/hand_landmarks.jpg
      datePublished:2024-09-27 05:42:12 +0500
      dateModified:2025-03-17 21:52:48 +0100
      author:
            type:Organization
            name:Ultralytics
            url:https://ultralytics.com/
      abstract:Explore the hand keypoints estimation dataset for advanced pose estimation. Learn about datasets, pretrained models, metrics, and applications for training with YOLO.
      mainEntity:
            type:Question
            name:How do I train a YOLO11 model on the Hand Keypoints dataset?
            acceptedAnswer:
               type:Answer
               text:To train a YOLO11 model on the Hand Keypoints dataset, you can use either Python or the command line interface (CLI). Here's an example for training a YOLO11n-pose model for 100 epochs with an image size of 640: For a comprehensive list of available arguments, refer to the model Training page.
            type:Question
            name:What are the key features of the Hand Keypoints dataset?
            acceptedAnswer:
               type:Answer
               text:The Hand Keypoints dataset is designed for advanced pose estimation tasks and includes several key features: For more details, you can explore the Hand Keypoints Dataset section.
            type:Question
            name:What applications can benefit from using the Hand Keypoints dataset?
            acceptedAnswer:
               type:Answer
               text:The Hand Keypoints dataset can be applied in various fields, including: For more information, refer to the Applications section.
            type:Question
            name:How is the Hand Keypoints dataset structured?
            acceptedAnswer:
               type:Answer
               text:The Hand Keypoints dataset is divided into two subsets: This structure ensures a comprehensive training and validation process. For more details, see the Dataset Structure section.
            type:Question
            name:How do I use the dataset YAML file for training?
            acceptedAnswer:
               type:Answer
               text:The dataset configuration is defined in a YAML file, which includes paths, classes, and other relevant information. The hand-keypoints.yaml file can be found at hand-keypoints.yaml. To use this YAML file for training, specify it in your training script or CLI command as shown in the training example above. For more details, refer to the Dataset YAML section.
Organization:
      name:Ultralytics
      url:https://ultralytics.com/
Question:
      name:How do I train a YOLO11 model on the Hand Keypoints dataset?
      acceptedAnswer:
         type:Answer
         text:To train a YOLO11 model on the Hand Keypoints dataset, you can use either Python or the command line interface (CLI). Here's an example for training a YOLO11n-pose model for 100 epochs with an image size of 640: For a comprehensive list of available arguments, refer to the model Training page.
      name:What are the key features of the Hand Keypoints dataset?
      acceptedAnswer:
         type:Answer
         text:The Hand Keypoints dataset is designed for advanced pose estimation tasks and includes several key features: For more details, you can explore the Hand Keypoints Dataset section.
      name:What applications can benefit from using the Hand Keypoints dataset?
      acceptedAnswer:
         type:Answer
         text:The Hand Keypoints dataset can be applied in various fields, including: For more information, refer to the Applications section.
      name:How is the Hand Keypoints dataset structured?
      acceptedAnswer:
         type:Answer
         text:The Hand Keypoints dataset is divided into two subsets: This structure ensures a comprehensive training and validation process. For more details, see the Dataset Structure section.
      name:How do I use the dataset YAML file for training?
      acceptedAnswer:
         type:Answer
         text:The dataset configuration is defined in a YAML file, which includes paths, classes, and other relevant information. The hand-keypoints.yaml file can be found at hand-keypoints.yaml. To use this YAML file for training, specify it in your training script or CLI command as shown in the training example above. For more details, refer to the Dataset YAML section.
Answer:
      text:To train a YOLO11 model on the Hand Keypoints dataset, you can use either Python or the command line interface (CLI). Here's an example for training a YOLO11n-pose model for 100 epochs with an image size of 640: For a comprehensive list of available arguments, refer to the model Training page.
      text:The Hand Keypoints dataset is designed for advanced pose estimation tasks and includes several key features: For more details, you can explore the Hand Keypoints Dataset section.
      text:The Hand Keypoints dataset can be applied in various fields, including: For more information, refer to the Applications section.
      text:The Hand Keypoints dataset is divided into two subsets: This structure ensures a comprehensive training and validation process. For more details, see the Dataset Structure section.
      text:The dataset configuration is defined in a YAML file, which includes paths, classes, and other relevant information. The hand-keypoints.yaml file can be found at hand-keypoints.yaml. To use this YAML file for training, specify it in your training script or CLI command as shown in the training example above. For more details, refer to the Dataset YAML section.

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