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@ -10,7 +10,7 @@ Please check out our new release on [**YOLOE**](https://github.com/THU-MIG/yoloe
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Comparison of performance, training cost, and inference efficiency between YOLOE (Ours) and YOLO-Worldv2 in terms of open text prompts.
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Comparison of performance, training cost, and inference efficiency between YOLOE (Ours) and YOLO-Worldv2 in terms of open text prompts.
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</p>
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</p>
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**YOLOE(ye)** is a highly **efficient**, **unified**, and **open** object detection and segmentation model for real-time seeing anything, like human eye, under different prompt mechanisms, like *texts*, *visual inputs*, and *prompt-free paradigm*.
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**YOLOE(ye)** is a highly **efficient**, **unified**, and **open** object detection and segmentation model for real-time seeing anything, like human eye, under different prompt mechanisms, like *texts*, *visual inputs*, and *prompt-free paradigm*, with **zero inference and transferring overhead** compared with closed-set YOLOs.
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<p align="center">
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<p align="center">
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<img src="https://github.com/THU-MIG/yoloe/blob/main/figures/visualization.svg" width=96%> <br>
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<img src="https://github.com/THU-MIG/yoloe/blob/main/figures/visualization.svg" width=96%> <br>
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@ -6,10 +6,9 @@ pycocotools==2.0.7
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PyYAML==6.0.1
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PyYAML==6.0.1
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scipy==1.13.0
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scipy==1.13.0
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onnxslim==0.1.31
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onnxslim==0.1.31
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onnxruntime-gpu==1.18.0
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gradio==4.31.5
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gradio==4.31.5
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opencv-python==4.9.0.80
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opencv-python==4.9.0.80
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psutil==5.9.8
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psutil==5.9.8
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py-cpuinfo==9.0.0
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py-cpuinfo==9.0.0
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huggingface-hub==0.23.2
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huggingface-hub==0.23.2
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safetensors==0.4.3
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safetensors==0.4.3
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