MaartenGr/Concept
Concept Modeling: Topic Modeling on Images and Text
This helps visual content creators, marketers, or researchers make sense of large collections of images. You input a set of images and, optionally, a vocabulary of terms, and it outputs clusters of visually similar images, along with text labels describing the dominant "concept" in each cluster. This allows users to quickly identify themes and patterns in their visual data.
220 stars. No commits in the last 6 months.
Use this if you need to organize, categorize, or understand the prevailing themes within thousands of images, especially when manual tagging is too time-consuming.
Not ideal if you're looking for exact object detection or highly granular image classification, as it focuses on broader conceptual groupings.
Stars
220
Forks
17
Language
Python
License
MIT
Category
Last pushed
Nov 04, 2024
Commits (30d)
0
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