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Yolov9 C by Xenova

 »  All LLMs  »  Xenova  »  Yolov9 C   URL Share it on

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  Object-detection   Onnx   Region:us   Transformers.js   Yolov9
Model Card on HF 🤗: https://huggingface.co/Xenova/yolov9-c 

Yolov9 C Benchmarks

LLME Score: 0.15618
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yolov9 C (Xenova/yolov9-c)
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Yolov9 C Parameters and Internals

Model Type 
object-detection
Use Cases 
Applications:
object-detection
Primary Use Cases:
Detecting objects such as cars, bicycles, and persons in images.
Additional Notes 
The model uses ONNX weights with Transformers.js for object detection.
Input Output 
Accepted Modalities:
image
Performance Tips:
Disable resizing if exact image coordinates are needed.
LLM NameYolov9 C
Repository 🤗https://huggingface.co/Xenova/yolov9-c 
Updated2025-06-17
MaintainerXenova
Model Typeyolov9
Model ArchitectureAutoModel
Licensegpl-3.0

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Note: green Score (e.g. "73.2") means that the model is better than Xenova/yolov9-c.

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Release v20241124
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