Find objects in images using text descriptions
Identify objects in images
Upload image to detect objects
Run object detection on videos
Upload an image to detect objects
Identify labels in an image with a score threshold
Find license plates in images
Identify car damage in images
Detect objects in your images
Track objects in live stream or uploaded videos
State-of-the-art Zero-shot Object Detection
Detect objects in random images
Detect objects 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.