Thesis Clip Geoloc Continent
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Thesis Clip Geoloc Continent
Developed by jrheiner
A CLIP-ViT model optimized for image geolocation recognition, fine-tuned for continent-level queries.
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Release Time : 8/16/2024
Model Overview
An image geolocation recognition model based on the CLIP-ViT architecture, capable of identifying the continent to which an image belongs based on its content.
Model Features
Continent-Level Geolocation Recognition
Specially optimized to identify the continent (e.g., Asia, Europe) to which an image belongs.
Multimodal Capability
Combines visual and textual information for geolocation prediction.
Zero-Shot Learning
Capable of predicting new categories without specific training.
Model Capabilities
Image geolocation recognition
Multimodal image classification
Zero-shot learning
Use Cases
Geographic Information Systems
Photo Geolocation Tagging
Automatically identifies the continent where a photo was taken.
Accurately classifies into one of six continents.
Education & Entertainment
Geography Guessing Game
Guess the continent of the shooting location based on image content.
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