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| description | keywords |
|---|---|
| Learn about YOLOE enhanced visual prompting (EVP) predictors in Ultralytics, which enable object detection and segmentation models to use visual prompts during inference for improved performance. | YOLOE, EVP, visual prompts, computer vision, object detection, segmentation, bounding boxes, masks, predictors, YOLOEVPDetectPredictor, YOLOEVPSegPredictor, Ultralytics, inference |
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ultralytics/models/yolo/yoloe/train.py!!! note
This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/yoloe/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/yoloe/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/yoloe/train.py) 🛠️. Thank you 🙏!
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