Update README.md

Updated README.md

README.md

@@ -37,6 +37,35 @@ List of supported species:
 
 The recommended image resolution for the model is 1024px. The model's performance enables the processing of ~30,000 images in one hour using a single NVIDIA GPU with more than 11 GB of vRAM.
 
+## 📥 Installation
+
+```bash
+$ python3 -m venv env
+$ source env/bin/activate
+$ pip install ultralytics dill ipython # IPython is optional
+```
+
+## 🚀 Usage
+
+```ipython
+In [1]: from ultralytics import YOLO
+In [2]: model = YOLO("TrapperAI-v02.2024-YOLOv8-m.pt")
+In [3]: results = model.predict("fox36-Vulpes-vulpes.jpg")
+
+In [4]: len(results) # how many animals were detected
+Out[4]: 1
+
+In [5]: results[0].show() # open image viewer with detection and classification results
+
+In [6]: results[0].boxes.conf # return best confidence score for detection and classification results
+Out[6]: tensor([0.9558], device='cuda:0')
+
+In [7]: results[0].boxes.cls # return index value for detection and classification results
+Out[7]: tensor([14.], device='cuda:0') # Red Fox
+```
+
+If your image contains more than one object (animal), you will need to iterate through the results list to obtain the confidence score and species index value for each detected object.
+
 ## 🏢 Who is using TRAPPER?
 * Mammal Research Institute Polish Academy of Sciences;
 * Karkonosze National Park;