Update README.md

README.md

@@ -27,24 +27,26 @@ pipeline_tag: object-detection
 
 # Model Card for YOLOv8 object detection
 
+## Note
+This model is specially design for thermal image object detection 
 ## Model Summary
 
-The YOLOv8  object Detection model is an object detection model based on the YOLO (You Only Look Once) framework. It is designed to detect object, whether they are object detect, in images. The model has been fine-tuned on a vast dataset and achieved high accuracy in detecting tables and distinguishing between object detect ones.
+The YOLOv8  object Detection model is an object detection model based on the YOLO (You Only Look Once) framework. It is designed to thermal image detect object, whether they are thermal object detect, in images. The model has been fine-tuned on a vast dataset and achieved high accuracy in detecting tables and distinguishing between thermal object detect ones.
 
 ## Model Details
 
 ### Model Description
-The YOLOv8 Object Detection model serves as a versatile solution for precisely identifying 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 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.
 
 
 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 info@foduu.com. 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.
 
 - **Developed by:** FODUU AI
 - **Model type:** Object Detection
-- **Task:** Object Detection (object detection)
+- **Task:** Thermal Object Detection (object detection)
 
 Furthermore, the YOLOv8  Detection model is limited to object detectionsetup environment python setup.py
-yolov8 object detection model alone. It is a versatile tool that contributes to the processing of structured image data. By utilizing advanced box techniques, the model empowers users to isolate object within the image visual data. What sets this model apart is its seamless integration with object detection technology. The combination of box information allows for precise object detection from the data. This comprehensive approach streamlines the process of information retrieval from image data.
+yolov8 object detection model alone. It is a versatile tool that contributes to the processing of structured image data. By utilizing advanced box techniques, the model empowers users to isolate object within the thermal image data. What sets this model apart is its seamless integration with object detection technology. The combination of box information allows for precise object detection from the thermal image data. This comprehensive approach streamlines the process of information retrieval from thermal image data.
 
 User collaboration is actively encouraged to enrich the model's capabilities. By contributing table images of different designs and types, users play a pivotal role in enhancing the model's ability to detect a diverse range of object accurately. Community participation can be facilitated through our platform or by reaching out to us at info@foduu.com. We value collaborative efforts that drive continuous improvement and innovation in object detection.
 
@@ -58,7 +60,7 @@ User collaboration is actively encouraged to enrich the model's capabilities. By
 
 ### Direct Use
 
-The YOLOv8 and opencv for object Detection  model can be directly used for detecting object from images, whether they are bordered box.
+The YOLOv8 for object Detection  model can be directly used for detecting object from thermal images, whether they are bordered box.
 
 ### Downstream Use