Update README.md

README.md

@@ -25,8 +25,7 @@ metrics:
 pipeline_tag: object-detection
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 <div align="center">
-  <img width="640" alt="foduucom/thermal-image-object-detection" src="https://huggingface.co/foduucom/thermal-image-object-detection/blob/main/image.jpg"
-">
+  <img width="640" alt="foduucom/thermal-image-object-detection" src="https://huggingface.co/foduucom/thermal-image-object-detection/blob/main/image.jpg">
 </div>product-detection-in-shelf-yolov8
 
 
@@ -41,7 +40,7 @@ The YOLOv8  object Detection model is an object detection model based on the YOL
 ## Model Details
 
 ### Model Description
-The YOLOv8 Object Detection model serves as a versatile solution for precisely identifying thermal object detect within images, whether they exhibit a object detect. Notably, this model's capabilities extend beyond mere detection – it plays a crucial role for object detection. By employing advanced techniques such as object detection.
+The YOLOv8 Object Detecthttps://huggingface.co/foduucom/thermal-image-object-detection/blob/main/image.jpgion model serves as a versatile solution for precisely identifying thermal object detect within images, whether they exhibit a object detect. Notably, this model's capabilities extend beyond mere detection – it plays a crucial role for object detection. By employing advanced techniques such as object detection.
 
 
 We invite you to explore the potential of this model and its object detection capabilities. For those interested in harnessing its power or seeking further collaboration, we encourage you to reach out to us at [email protected]. Whether you require assistance, customization, or have innovative ideas, our collaborative approach is geared towards addressing your unique challenges. Additionally, you can actively engage with our vibrant community section for valuable insights and collective problem-solving. Your input drives our continuous improvement, as we collectively pave the way towards enhanced object detection.