README minor changes

README.md

@@ -1,10 +1,10 @@
 # YOLOv5 Handwritten Text Detection
 
-Welcome to the Hugging Face repository for the YOLOv5 model specifically fine-tuned for handwritten text detection! This repository, hosted by armvectores, features a state-of-the-art object detection architecture that has been meticulously adapted to recognize and localize handwritten text in images and documents.
+Welcome to the Hugging Face repository for the YOLOv8 model specifically fine-tuned for handwritten text detection! This repository, hosted by armvectores, features a state-of-the-art object detection architecture that has been meticulously adapted to recognize and localize handwritten text in images and documents.
 
 ## Model Description
 
-YOLOv5 is the fifth version of the You Only Look Once (YOLO) object detection algorithm. It excels in speed and accuracy, making it an ideal choice for real-time applications. The YOLOv5 model provided here has been fine-tuned on a diverse dataset of handwritten texts to improve its specificity in detecting handwritten content as opposed to typed or printed materials.
+YOLOv8 is the eighth version of the You Only Look Once (YOLO) object detection algorithm. It excels in speed and accuracy, making it an ideal choice for real-time applications. The YOLOv8 model provided here has been fine-tuned on a diverse dataset of handwritten texts to improve its specificity in detecting handwritten content as opposed to typed or printed materials.
 
 ## Features
 
@@ -20,7 +20,7 @@ To utilize this model for detecting handwritten text in your images, follow the
 
 Ensure you have Python 3.6 or later installed. Then install the required packages:
 ```
-pip install transformers torch torchvision
+pip install ultralytics
 ```
 
 ### How to use
@@ -30,38 +30,41 @@ You can do the predictions with the following code snippet:
 import ultralytics
 from ultralytics import YOLO
 
-# Load weights for YOLO
+# Load weights for YOLO from our repository
 model = YOLO('best.pt')
 
 # Do the predictions
 model.predict(source="path_to_your_image", save=True, show=True, show_labels=False, show_conf=False, conf=0.3)
 ```
 
-## Limitations
-
-While this model performs well across a wide range of handwriting styles, the accuracy may diminish in cases of extremely cursive or overlapping text. The performance is also dependent on the quality of the input images.
 
-## Contact Information
+## Tests
 
-For queries regarding this model, please post issues directly on this Hugging Face repository or contact armvectores through their Hugging Face profile.
+Here the examples of model work:
 
----
+<p align="center">
+ <img width="400px" src="prediction1.png" alt="qr"/>
+</p>
 
-This description should provide users with an overview of the YOLOv5 model tailored for handwritten text detection, along with basic usage instructions. Remember, always respect the usage guidelines and terms of service when utilizing models from repositories.
+<p align="center">
+ <img width="400px" src="prediction2.png" alt="qr"/>
+</p>
 
 ## Metrics
 
-There is some metrics for trained model.
+There is some metrics of trained model.
 <p align="center">
  <img width="400px" src="results.png" alt="qr"/>
 </p>
 
-## Tests
+## Limitations
 
-<p align="center">
- <img width="400px" src="prediction1.png" alt="qr"/>
-</p>
+While this model performs well across a wide range of handwriting styles, the accuracy may diminish in cases of extremely cursive or overlapping text. The performance is also dependent on the quality of the input images.
 
-<p align="center">
- <img width="400px" src="prediction2.png" alt="qr"/>
-</p>
+## Contact Information
+
+For queries regarding this model, please post issues directly on this Hugging Face repository or contact armvectores through their Hugging Face profile.
+
+---
+
+This description should provide users with an overview of the YOLOv8 model tailored for handwritten text detection, along with basic usage instructions. Remember, always respect the usage guidelines and terms of service when utilizing models from repositories.