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Autotrain Test Auto Nlp 2885884378

Developed by owsgfwnlgjuz
This is a binary classification model trained via AutoTrain, specifically designed for image classification tasks.
Downloads 16
Release Time : 1/14/2023

Model Overview

This model can classify input images and is suitable for binary classification tasks. It performs excellently on the validation set, with all metrics reaching 1.000.

Model Features

High Accuracy
Achieves an accuracy, precision, recall, AUC value, and F1 score of 1.000 on the validation set, demonstrating outstanding performance.
Low Emission
The CO2 emissions during training are only 1.1398 grams, making it environmentally friendly and efficient.

Model Capabilities

Image Classification
Binary Classification

Use Cases

Image Recognition
Animal Recognition
Identify animal categories in images, such as tigers.
Accurately identifies the tiger in the example image.
Object Recognition
Identify everyday objects, such as teapots.
Accurately identifies the teapot in the example image.
Scene Recognition
Identify architectural or natural scenes, such as palaces.
Accurately identifies the palace in the example image.
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