comic-semantic-last Computer Vision Project
Updated 8 months ago
Metrics
Here are a few use cases for this project:
-
Comic Book Categorization: This model can be used by comic book creators, publishers, and platforms for automatic categorization and tagging of comic book content, which can significantly improve search functionality and user recommendations.
-
Interactive Study Tool: Educators in the field of media and visual arts could use this model as a tool to help students study and understand the nuances of comic semantics, including differentiating characters, objects, and other elements.
-
Animated Film Production: In the animation industry, this model can be utilized to help storyboard artists, animators, and directors identify and extract certain elements from existing comics for characters design, scene settings or plot inspiration.
-
Comic Accessibility: For visually impaired individuals, this model can extract and describe comic semantic classes, providing an enhanced experience of enjoying comics through descriptive audio.
-
AI-Powered Comic Creator: App developers can create a tool that uses the model to help amateur comic creators to recognize and improve their drawing of comic semantic classes, guiding them to produce professional-quality content.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
comic-semantic-last_dataset,
title = { comic-semantic-last Dataset },
type = { Open Source Dataset },
author = { George Mason University },
howpublished = { \url{ https://universe.roboflow.com/george-mason-university-tk2yn/comic-semantic-last } },
url = { https://universe.roboflow.com/george-mason-university-tk2yn/comic-semantic-last },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-12-02 },
}