Yolov9 C All by Xenova

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  Object-detection   Onnx   Region:us   Transformers.js   Yolov9
Model Card on HF ๐Ÿค—: https://huggingface.co/Xenova/yolov9-c_all 

Yolov9 C All Benchmarks

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 ๐Ÿค—https://huggingface.co/Xenova/yolov9-c_all 
Updated2025-07-02
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.

Rank the Yolov9 C All Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124