Identify objects in an image
Identify objects in images with YOLOS model
Stream webcam video and detect objects in real-time
Identify segments in an image using a Detectron2 model
Analyze images and videos to detect objects
Identify objects in images using text queries
Detect objects in an image
Detect objects in anime images
Upload image to detect objects
Detect objects in images and videos
Identify objects in images using URLs or uploads
Identify objects in images and generate detailed data
Detect objects in images and get bounding boxes
Platzi Curso Gradio Tf Clasificacion Imagenes is a specialized course offered by Platzi that focuses on teaching image classification using TensorFlow and Gradio. This course is designed to help students learn how to identify objects in images through hands-on exercises and practical examples. It combines the power of TensorFlow for building machine learning models with Gradio, a library that allows users to create user-friendly interfaces for their AI models.
What is the main focus of the course?
The course focuses on teaching image classification using TensorFlow and Gradio, emphasizing practical implementation and real-world applications.
Do I need prior experience with TensorFlow or Gradio?
While some basic knowledge of Python and machine learning concepts is helpful, the course is designed to be accessible to beginners.
Can I use this course to build my own image classification projects?
Yes, the course provides the necessary tools and knowledge to help you build and deploy your own image classification projects.