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RTMO T by Xenova

 »  All LLMs  »  Xenova  »  RTMO T   URL Share it on

  4   
  Onnx   Pose-estimation   Region:us   Rtmo   Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/RTMO-t 

RTMO T Benchmarks

LLME Score: 0.15517
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RTMO T (Xenova/RTMO-t)
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RTMO T Parameters and Internals

Model Type 
pose-estimation
Use Cases 
Areas:
research, commercial applications
Applications:
pose estimation, human detection
Primary Use Cases:
predicting poses in images
Considerations:
Ensure image quality is suitable for pose detection to get accurate results.
Additional Notes 
The model uses ONNX weights to be compatible with Transformers.js under the Apache 2.0 license.
Input Output 
Input Format:
RawImage
Accepted Modalities:
image
Output Format:
bounding boxes and keypoints
Performance Tips:
Ensure images have sufficient resolution for accurate pose estimation.
LLM NameRTMO T
Repository 🤗https://huggingface.co/Xenova/RTMO-t 
Updated2025-08-22
MaintainerXenova
Model Typertmo
Model ArchitectureAutoModel
Licenseapache-2.0

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Release v20241124
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