diff --git a/README.md b/README.md
index fed8ea5..e607919 100644
--- a/README.md
+++ b/README.md
@@ -2,19 +2,19 @@
Osam
- Get up and running with segment-anything models locally.
+ Get up and running with promptable vision models locally.
-*Osam* (/oʊˈsɑm/) is a tool to run open-source segment-anything models locally
+*Osam* (/oʊˈsɑm/) is a tool to run open-source promptable vision models locally
(inspired by [Ollama](https://github.com/ollama/ollama)).
*Osam* provides:
-- **Segment-Anything Models** - original SAM, EfficientSAM;
+- **Promptable Vision Models** - Segment Anything Model (SAM), EfficientSAM, YOLO-World;
- **Local APIs** - CLI & Python & HTTP interface;
- **Customization** - Host custom vision models.
@@ -44,7 +44,7 @@ To run with EfficientSAM:
osam run efficientsam --image
```
-To run with YoloWorld:
+To run with YOLO-World:
```bash
osam run yoloworld --image
@@ -61,7 +61,7 @@ Here are models that can be downloaded:
| SAM 600M | 600M | 600MB | `osam run sam` |
| EfficientSAM 10M | 10M | 40MB | `osam run efficientsam:10m` |
| EfficientSAM 30M | 30M | 100MB | `osam run efficientsam` |
-| YoloWorld XL | 100M | 400MB | `osam run yoloworld` |
+| YOLO-World XL | 100M | 400MB | `osam run yoloworld` |
PS. `sam`, `efficientsam` is equivalent to `sam:latest`, `efficientsam:latest`.