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Object Detection
Owl-Vit Streamlit App

Owl-Vit Streamlit App

Find objects in images using text descriptions

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What is Owl-Vit Streamlit App ?

The Owl-Vit Streamlit App is a web-based interface designed for object detection tasks. It allows users to find objects in images by providing text descriptions. This app leverages state-of-the-art AI models to deliver accurate and efficient results, making it a powerful tool for both casual users and professionals.

Features

• Object Detection: Identify specific objects within images using text-based descriptions.
• Text-Based Search: Enter descriptive text to locate objects of interest in uploaded images.
• Image Upload: Easily upload images from your local device for processing.
• Real-Time Processing: Get immediate results with the app's fast and efficient AI engine.
• User-Friendly Interface: An intuitive design that simplifies the object detection process for all users.

How to use Owl-Vit Streamlit App ?

  1. Install the App: Ensure you have Streamlit installed. Run pip install streamlit in your terminal.
  2. Launch the App: Execute the command streamlit run owlvit_app.py to start the application.
  3. Upload an Image: Click the "Choose File" button to select an image from your device.
  4. Enter Text Description: Input a description of the object you want to detect (e.g., "cat," "car," etc.).
  5. View Results: Click the "Detect" button to see the AI identify the object in the image.
  6. Example: Upload a photo of a street scene and enter "car" to highlight all cars in the image.

Frequently Asked Questions

What does the Owl-Vit Streamlit App do?
The Owl-Vit Streamlit App is designed to detect objects in images based on text descriptions. It uses AI to locate and highlight objects matching your input.

Do I need to install any additional software?
Yes, you need to install Streamlit. Run pip install streamlit in your terminal to get started.

Can I use the app with any type of image?
Yes, the app supports most common image formats, including JPG, PNG, and BMP. Ensure your image is clear for the best results.

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