Hoppa till huvudinnehållet

Simplifying Image Recognition using ApertureDB and Python

In this session, you'll use ApertureDB to access the COCO dataset and run image recognition using Python.
Luis Remis
Luis Remis

Skapa ditt gratiskonto

Öva och håll koll på dina framsteg.

Fortsätt med GoogleGenom att fortsätta godkänner du vår användarvillkor, våra integritetspolicy och att dina uppgifter lagras i USA.

Koda med oss på

Code Along ↗
Visa dataset ↗

Advances in deep learning and database infrastructure have allowed the analysis of images and videos to become mainstream. Image recognition is one of the most important tasks in computer vision. In this session, you'll use ApertureDB to access the COCO dataset and run image recognition using Python.

Key Takeaways:

  • Learn how to use image data stored in ApertureDB.
  • Learn how to perform image recognition.
  • Learn about workflows for image and video data.

Addtional Resources

ApertureDB docs, for further learning

[WEBINAR] AI for Visual Data: Computer Vision in Business (with Vishakha Gupta, CEO of ApertureData)

[COURSE] Image Processing in Python

[TUTORIAL] What is Image Recognition?

Ämnen

Machine LearningArtificial IntelligenceData Scientist

Relaterat

Handledning

Face Detection with Python Using OpenCV

Handledning

OpenCV Tutorial: Unlock the Power of Visual Data Processing

Se mer →