edit description
Browse files
app.py
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@@ -22,7 +22,7 @@ iface = gr.Interface(
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inputs=gr.components.Image(type="filepath", label="Input Image"),
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outputs=gr.Image(),
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title="Cheerios detector",
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description='This model is trained to detect
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examples= path,
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# gradio.HTML(https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn),
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)
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inputs=gr.components.Image(type="filepath", label="Input Image"),
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outputs=gr.Image(),
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title="Cheerios detector",
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description='This model is trained to detect one Cheerios box in an indoor setting, and it is trained using synthetic data from the Duality.ai simulation software: FalconEditor. In a world where data regulations are starting to limit AI useage, FalconEditor offers a way to obtain large, regulation-passing datasets easily and quickly. Dive into synthetic data by creating a FREE learner account at <a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">falcon.duality.ai</a>. See if you can train a more robust model that functions in a larger variety of domains! Follow along with tutorials as we walk you through how to assemble a scenario and collect data for AI training. Used by companies like P&G, KEF Robotics, and AWS, this powerful software is now available for non-commercial use. Go to <a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">this link</a> to sign up and start simulating!',
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examples= path,
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# gradio.HTML(https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn),
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)
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