Use the Agentic Object Detection Playground to test an idea. Then use the API to turn that idea into an app in minutes. Here we show how to create an app that extracts video frames and detects the Easter eggs in each frame.
Learn more and try it yourself for free:
https://landing.ai/agentic-object-detection
In this fun and practical demo, we explore Agentic Object Detection using the LandingAI Playground—just in time for Easter! You’ll see how to upload and analyze images, prompt the model to find Easter eggs, and view results both visually and in JSON format.
The video also walks through a simple Streamlit application that takes a YouTube video URL, extracts frames, sends each frame to LandingAI for object detection, and returns bounding boxes and counts of detected Easter eggs. The app summarizes metrics like total detections and lets you download the results for further use.
This is a great video for developers who want to see how AI inference APIs can be combined with lightweight Python tools like Streamlit to rapidly prototype real-world computer vision projects. If you’re curious about integrating object detection into your apps, or just want a creative way to explore AI this Easter, this demo has you covered.
The demo uses LandingAI’s Agentic Object Detection, Streamlit for the interface, Python for logic and image processing, and YouTube as a source for video frames.
Watch to get inspired, build your own version, and see how simple it is to bring intelligent visual detection into your projects.
Learn more and try it yourself for free:
