Build an AI Custom Object Detection App in 1 Hour with EyePop.ai

Train, Deploy, and Search Video Using Your Own Model
If you’ve ever wanted to train your own object detection model—without hiring a machine learning team or spending months in setup—this demo shows you exactly how. In under an hour, you'll build and integrate a custom model for real-time visual search, powered by EyePop.ai.
What You’ll Learn in This Demo
EyePop.ai CPO Andy Ballester walks you step by step through how to create, train, and deploy your own AI-powered object detection model—even if you’ve never worked with machine learning before.
1️⃣ Explore EyePop.ai's Pre-Trained Object Library (Timestamp: 5:43)
- Overview of the default models available out of the box
- When to use built-in detection vs. custom training
- Live preview of people, objects, and text detection
2️⃣ Create a Custom AI Endpoint in Minutes (Timestamp: 11:02)
- How to launch a real-time AI-powered endpoint ("Pop")
- Easily configure for images, video, or live stream inputs
- How EyePop.ai handles real-time inference
3️⃣ Train Your Own Model with Real Images (Timestamp: 18:06)
- Upload and auto-label a dataset in minutes
- Use custom prompts and confidence filters to refine detection
- Approve and train models in under two hours
4️⃣ Deploy and Combine with Other Models (Timestamp: 40:08)
- One-click deploy to EyePop.ai cloud or Snapdragon edge devices
- Combine custom models with curated pipelines (e.g., person pose + glasses)
- Deploy to real-world use cases without ML expertise
5️⃣ Python Example: Sort and Search by Object Presence (Timestamp: 43:48)
- Automatically tag and sort folders of images based on object presence
- Use AI to clean, organize, or search content visually
- Set confidence thresholds for accuracy and speed
6️⃣ React Example: Auto-Highlight Video by Object Detection (Timestamp: 47:23)
- Automatically skip video segments with no object present
- Highlight only the frames that matter
- Use cases include surveillance, sports highlights, e-commerce QA, and more
Code & Developer Resources
- Developer Docs → EyePop.ai Gitbook
- Python Code → GitHub: Python Demo
- React Code → GitHub: React Demo
Start Building Today with EyePop.ai
Want to ito build your own object detection AI and search images or video by what’s in them? Set up an AI endpoint in minutes and start building today. 👉 Sign up for your EyePop.ai account now