Find objects in images using text descriptions
Run object detection on videos
Identify objects in images with Transformers.js
Detect objects in images using drag-and-drop
Detect objects in an image
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Detect objects in images and videos
Detect objects in anime images
Stream webcam video and detect objects in real-time
Track objects in live stream or uploaded videos
Perform small object detection in images
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Detect forklifts in images
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.
• 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.
pip install streamlit
in your terminal.streamlit run owlvit_app.py
to start the application.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.