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Lotr

Developed by jjhoffstein
An image classification model built with PyTorch and HuggingPics for identifying main characters in The Lord of the Rings.
Image Classification
Transformers
#Movie Character Recognition#Multi-Character Classification#Low-Accuracy Model
Downloads 40
Release Time : 3/2/2022

Model Overview

This model can classify and recognize main characters (such as Aragorn, Frodo, Gandalf, etc.) from The Lord of the Rings movies.

Model Features

Multi-Character Recognition
Capable of recognizing multiple main characters from The Lord of the Rings movies.
Easy to Use
Quickly built with HuggingPics tools, easy to deploy and use.
Custom Training
Supports custom training via Google Colab, extendable to recognize other characters.

Model Capabilities

Image Classification
Character Recognition
Visual Feature Extraction

Use Cases

Entertainment Applications
Movie Character Recognition
Used to identify characters in screenshots or stills from The Lord of the Rings movies.
Accuracy 43.75% (based on sample data)
Fan App Development
Can be integrated into fan websites or apps to provide character recognition features.
Educational Applications
Film Teaching Aid
Assists in identifying and analyzing characters in film or literature courses.
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