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Yolov9 C All by Xenova

 »  All LLMs  »  Xenova  »  Yolov9 C All   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_all 

Yolov9 C All Benchmarks

LLME Score: 0.15289
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yolov9 C All (Xenova/yolov9-c_all)
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Yolov9 C All Parameters and Internals

Model Type 
object-detection
Use Cases 
Areas:
research, commercial applications
Applications:
object detection, video surveillance
Primary Use Cases:
city street surveillance, traffic monitoring
Additional Notes 
ONNX weights are provided for compatibility with Transformers.js.
Input Output 
Accepted Modalities:
image
Output Format:
bounding boxes and labels
Performance Tips:
Increase the resolution size for better accuracy.
LLM NameYolov9 C All
Repository 🤗https://huggingface.co/Xenova/yolov9-c_all 
Updated2025-07-15
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_all.

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Release v20241124
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