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Autotrain Map No Map Twitter Demo 39701103400
A
Autotrain Map No Map Twitter Demo 39701103400
Developed by davanstrien
This is a binary classification model trained with AutoTrain, designed to distinguish whether an image contains a map.
Downloads 16
Release Time : 3/8/2023
Model Overview
This model is specifically designed for image classification tasks, capable of accurately distinguishing between images that contain maps and those that do not.
Model Features
High Accuracy
Achieves 94.7% accuracy on the validation set
Perfect Precision
Precision reaches 100%, meaning all images classified as containing a map indeed contain one
Efficient Recognition
AUC value of 1.0 indicates perfect classification capability
Model Capabilities
Image Classification
Binary Decision Making
Map Recognition
Use Cases
Social Media Analysis
Twitter Image Classification
Automatically identify whether images posted on Twitter contain maps
94.7% accuracy
Content Moderation
Map Content Filtering
Automatically filter or flag image content containing maps
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