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docs/en/models/yolo-world.md
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@ -6,7 +6,7 @@ keywords: YOLO-World, Ultralytics, open-vocabulary detection, YOLOv8, real-time
# YOLO-World Model
The YOLO-World Model introduces an advanced, real-time [Ultralytics](https://ultralytics.com) [YOLOv8](yolov8.md)-based approach for Open-Vocabulary Detection tasks. This innovation enables the detection of any object within an image based on descriptive texts. By significantly lowering computational demands while preserving competitive performance, YOLO-World emerges as a versatile tool for numerous vision-based applications.
The YOLO-World Model introduces an advanced, real-time [Ultralytics](https://www.ultralytics.com/) [YOLOv8](yolov8.md)-based approach for Open-Vocabulary Detection tasks. This innovation enables the detection of any object within an image based on descriptive texts. By significantly lowering computational demands while preserving competitive performance, YOLO-World emerges as a versatile tool for numerous vision-based applications.
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@ -275,7 +275,7 @@ This approach provides a powerful means of customizing state-of-the-art object d
| Dataset | Type | Samples | Boxes | Annotation Files |
| ----------------------------------------------------------------- | --------- | ------- | ----- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| [Objects365v1](https://opendatalab.com/OpenDataLab/Objects365_v1) | Detection | 609k | 9621k | [objects365_train.json](https://opendatalab.com/OpenDataLab/Objects365_v1) |
| [GQA](https://nlp.stanford.edu/data/gqa/images.zip) | Grounding | 621k | 3681k | [final_mixed_train_no_coco.json](https://huggingface.co/GLIPModel/GLIP/blob/main/mdetr_annotations/final_mixed_train_no_coco.json) |
| [GQA](https://downloads.cs.stanford.edu/nlp/data/gqa/images.zip) | Grounding | 621k | 3681k | [final_mixed_train_no_coco.json](https://huggingface.co/GLIPModel/GLIP/blob/main/mdetr_annotations/final_mixed_train_no_coco.json) |
| [Flickr30k](https://shannon.cs.illinois.edu/DenotationGraph/) | Grounding | 149k | 641k | [final_flickr_separateGT_train.json](https://huggingface.co/GLIPModel/GLIP/blob/main/mdetr_annotations/final_flickr_separateGT_train.json) |
- Val data