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README.roboflow.txt

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+
+roof damage - v4 2025-01-12 2:31pm
+==============================
+
+This dataset was exported via roboflow.com on January 13, 2025 at 12:54 AM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 4922 images.
+Damage are annotated in YOLOv11 format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+

approofysc5.py

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+import streamlit as st
+from ultralytics import YOLO
+from PIL import Image
+import numpy as np
+
+# Load the YOLO model directly from the root directory
+model_path = "best.pt"  # Ensure this matches the exact name of your model file
+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 (roofysc5).pt

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

data.yaml

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+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 10
+names: ['Blister', 'Chipped Shingle', 'Cracked Shingle', 'Degranulation', 'Dragons Tooth', 'Hail Impac', 'Hail Impact', 'I-labeled-hail-damages-in-pics', 'Mechanical Damage', 'Puncture']
+
+roboflow:
+  workspace: esper
+  project: roof-damage-vz2qc-oyrlz
+  version: 4
+  license: CC BY 4.0
+  url: https://app.roboflow.com/esper/roof-damage-vz2qc-oyrlz/4

requirements (roofysc5).txt

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+streamlit
+ultralytics
+Pillow
+numpy