Building computer vision app with gemini-1.5-flash
In this video, we'll show you how to build a computer vision application using Gemini-1.5-Flash and Streamlit. Gemini-1.5-Flash is a powerful deep learning model for image classification, object detection, and segmentation, while Streamlit is an intuitive framework for building and deploying data apps.
We'll take you through the entire process, from setting up the environment to building the app. You'll learn how to:
- Install and configure Gemini-1.5-Flash and Streamlit
- Load and preprocess images for computer vision tasks
- Train and evaluate the Gemini-1.5-Flash model
- Build a user-friendly interface with Streamlit
Whether you're a data scientist, machine learning engineer, or just curious about computer vision, this video is perfect for you. So, let's get started and build an amazing computer vision app together!
*Subscribe* to our channel for more AI, machine learning, and data science content!
In this video, we’ll show you how to build a computer vision application using Gemini-1.5-Flash and Streamlit. Gemini-1.5-Flash is a powerful deep learning model for image classification, object detection, and segmentation, while Streamlit is an intuitive framework for building and deploying data apps.
We’ll take you through the entire process, from setting up the environment to building the app. You’ll learn how to:
– Install and configure Gemini-1.5-Flash and Streamlit
– Load and preprocess images for computer vision tasks
– Train and evaluate the Gemini-1.5-Flash model
– Build a user-friendly interface with Streamlit
Whether you’re a data scientist, machine learning engineer, or just curious about computer vision, this video is perfect for you. So, let’s get started and build an amazing computer vision app together!
*Subscribe* to our channel for more AI, machine learning, and data science content!
