nehulagrawal
commited on
Commit
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a6da73f
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Parent(s):
fbc7f01
Update app.py
Browse files
app.py
CHANGED
@@ -45,16 +45,13 @@ inputs = [
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outputs = gr.Image(type="filepath", label="Output Image")
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title = "AI-Powered Tire Quality Inspection: YOLOv8s Enhanced Classification"
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description ="""
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π₯ Unveiling ThermalFoduu: Spot Objects with Thermal Vision! ππΈ Lost your keys in the dark? ποΈπ ThermalFoduu's got you covered! Powered by Foduu AI, our app effortlessly detects objects in thermal images. No more blurry blobs β just pinpoint accuracy! π¦
π―
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Love the thermal world? Give us a thumbs up! π Questions or suggestions? Contact us at info@foduu. Let's decode the thermal universe together! π§π‘οΈ
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"""
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Welcome to our π€ AI-Powered Tire Quality Inspection Space β a cutting-edge solution harnessing the capabilities of YOLOv8s to revolutionize π tire quality control processes.
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"""
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This interactive platform empowers you to classify tires with unparalleled precision, utilizing a fine-tuned YOLOv8s model π― specifically developed for identifying defects in tire manufacturing. By submitting an image of a tire, you can instantly determine whether it meets the rigorous quality standards required in the industry, helping to ensure safety and reliability in automotive products.
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"""
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examples = [['samples/1.jpeg', 'foduucom/thermal-image-object-detection', 640, 0.25, 0.45], ['samples/2.jpg', 'foduucom/thermal-image-object-detection', 640, 0.25, 0.45]]
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outputs = gr.Image(type="filepath", label="Output Image")
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title = "AI-Powered Tire Quality Inspection: YOLOv8s Enhanced Classification"
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Space Description:"""
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Welcome to our π€ AI-Powered Tire Quality Inspection Space β a cutting-edge solution harnessing the capabilities of YOLOv8s to revolutionize π tire quality control processes.
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"""
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About This Space: """
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This interactive platform empowers you to classify tires with unparalleled precision, utilizing a fine-tuned YOLOv8s model π― specifically developed for identifying defects in tire manufacturing. By submitting an image of a tire, you can instantly determine whether it meets the rigorous quality standards required in the industry, helping to ensure safety and reliability in automotive products.
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"""
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examples = [['samples/1.jpeg', 'foduucom/thermal-image-object-detection', 640, 0.25, 0.45], ['samples/2.jpg', 'foduucom/thermal-image-object-detection', 640, 0.25, 0.45]]
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