Update README.md

README.md

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 # RTDETR Model on COCO8 Dataset
 
-This model is a **Vision Transformer** (ViT) based object detection and tracking model, trained on the **COCO8** dataset, which contains images of people wearing coats (`1`) and people without coats (`0`).
+This model is a **Vision Transformer** (ViT) based object detection and tracking model, trained on the **COCO8** dataset.
 
 ## Model Details
 
@@ -8,17 +8,8 @@ This model is a **Vision Transformer** (ViT) based object detection and tracking
 - **Trained On**: COCO8 dataset (people with and without coats)
 - **Training Epochs**: 100 epochs
 - **Input Size**: 640x640 pixels
-- **Output**: Classifies images into two categories:
-  - `1`: People wearing coats
-  - `0`: People not wearing coats
+- **Output**: Detects and tracks objects through the frames in any input video
 
 ## How to Use
 
 You can use this model directly from the Hugging Face Hub. Below is an example of how to use it for inference on your images.
-
-### Install Dependencies
-
-First, ensure you have the `transformers` and `torch` libraries installed:
-
-```bash
-pip install transformers torch