Upload 3 files

app.py

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+import streamlit as st
+from ultralytics import YOLO
+from PIL import Image
+import numpy as np
+import os
+
+# Load the model
+model_path = "./models/best.pt"
+model = YOLO(model_path)
+
+# Streamlit app
+st.title("YOLOv11 Object Detection")
+st.write("Upload an image and let the model detect objects.")
+
+uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
+if uploaded_file:
+    # Read and display the image
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    # Perform prediction
+    with st.spinner("Processing..."):
+        results = model.predict(np.array(image))
+    
+    # Display results
+    st.write("Detection Results:")
+    st.image(results[0].plot(), caption="Detections", use_column_width=True)

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e40b1f30fd772a3e9d2045552f5d47e2820d397e8793d8185d474b416469601c
+size 19178067

requirements.txt

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+streamlit
+ultralytics
+Pillow
+numpy