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Developed by Ailyth
This is a visual image classification model trained using AutoTrain, specifically designed for binary classification tasks, demonstrating excellent performance on test data.
Image Classification
Transformers
#High-precision image classification#Specialized for binary classification#Lightweight deployment
Downloads 16
Release Time : 2/4/2023

Model Overview

This model can accurately identify and classify content in images, suitable for simple binary visual tasks. Based on validation metrics, the model performs exceptionally well in key indicators such as accuracy and recall.

Model Features

High Accuracy
Achieves 97% accuracy on the validation set, demonstrating excellent performance
Balanced Performance
Precision (96.6%) and recall (98.2%) are well-balanced, with an F1 score as high as 97.4%
Low-Emission Training
The training process produces only 2.0388 grams of CO2 equivalent emissions, making it environmentally friendly and efficient

Model Capabilities

Image classification
Binary classification recognition
Visual feature extraction

Use Cases

Object Recognition
Animal Recognition
Identify whether an image contains a specific animal (e.g., a tiger)
Accurately identified tiger images in example tests
Everyday Object Recognition
Identify common objects (e.g., a teapot)
Accurately identified teapot images in example tests
Scene Recognition
Architectural Scene Recognition
Identify specific types of architectural scenes (e.g., a palace)
Accurately identified palace images in example tests
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