YAML Metadata Warning:The pipeline tag "pose-estimation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Vision Architecture Analyzer YOLO11 Pose - v2.0.0

Overview

This model detects flow arrows in cloud architecture diagrams using YOLO11 Pose.

It outputs:

  • bounding boxes
  • confidence score
  • keypoints (e.g. tail and tip)

Training Details

  • Base model: YOLO11s-pose
  • Image size: 1280
  • Task: pose (arrow keypoints: tail + tip)
  • Run dir: train2

Artifacts

Version folder: v2.0.0/
Latest folder: latest/

Includes:

  • best.pt (also uploaded at repo root)
  • last.pt (also uploaded at repo root)
  • args.yaml (if available)
  • results.csv (if available)
  • training plots (if available)
  • dataset data.yaml
  • classes.txt

Usage Example

from ultralytics import YOLO

model = YOLO("best.pt")
results = model.predict("image.png", imgsz=1280, conf=0.2)
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