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Update yoloe.md (#19982)

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Signed-off-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/models/yoloe.md
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@ -12,10 +12,6 @@ keywords: YOLOE, open-vocabulary detection, real-time object detection, instance
[YOLOE (Real-Time Seeing Anything)](https://arxiv.org/html/2503.07465v1) is a new advancement in zero-shot, promptable YOLO models, designed for **open-vocabulary** detection and segmentation. Unlike previous YOLO models limited to fixed categories, YOLOE uses text, image, or internal vocabulary prompts, enabling real-time detection of any object class. Built upon YOLOv10 and inspired by [YOLO-World](yolo-world.md), YOLOE achieves **state-of-the-art zero-shot performance** with minimal impact on speed and accuracy.
!!! note "Ultralytics Integration Status 🚧"
The Ultralytics integration for YOLOE is currently under construction 🔨. The usage examples shown in this documentation will work once the integration is complete ✅. Please check back for updates 🔄 or follow our [GitHub repository](https://github.com/ultralytics/ultralytics) 🚀 for the latest developments.
Compared to earlier YOLO models, YOLOE significantly boosts efficiency and accuracy. It improves by **+3.5 AP** over YOLO-Worldv2 on LVIS while using just a third of the training resources and achieving 1.4× faster inference speeds. Fine-tuned on COCO, YOLOE-v8-large surpasses YOLOv8-L by **0.1 mAP**, using nearly **4× less training time**. This demonstrates YOLOE's exceptional balance of accuracy, efficiency, and versatility. The sections below explore YOLOE's architecture, benchmark comparisons, and integration with the [Ultralytics](https://www.ultralytics.com/) framework.
## Architecture Overview
@ -679,10 +675,6 @@ Across all these use cases, YOLOE's core advantage is **versatility**, providing
YOLOE integrates seamlessly with the [Ultralytics Python API](../usage/python.md) and [CLI](../usage/cli.md), similar to other YOLO models (YOLOv8, YOLO-World). Here's how to quickly get started:
!!! note "Ultralytics Integration Status 🚧"
The Ultralytics integration for YOLOE is currently under development 🔨. The examples below demonstrate how the API will work once integration is complete ✅.
!!! Example "Training and inference with YOLOE"
=== "Python"