2025-24679-image-autolguon-predictor

Model description

Purpose: This model to be used for in-class assignments and activity associated with Course 24679 at CMU.

Preprocessing/Augmentation: The preprocessing of this data includes splitting the dataset into train and test, and using autoML to predict whether the image contained in the dataset will have a pen or not. The predictor was multimodal and used a fitting using a 20 minute time limit, in addition to a best_quality present.

Intended uses & limitations

Intented use/limits: The intended use of this dataset is exclusively for classroom and assignment use. Please request permission if you wish to use it elsewhere. Note, accuracy for this model is quite low, due to a low training time for course practice.

Ethical notes: The AI used in this sample is a fairly benign use case handling basic text manipulation. However, please review the environmental impacts of large-scale usage in exchange for implementing the necessary good such technology brings.

AI Usage disclosure: Original code to assist with data augmentation was developed with use of Google Gemini in combination with course material from 24679 at CMU

Training and evaluation data

limitations:

Dataset trained on is a simple image dataset for binary image detection, and has been trained to classify the reccomended column of label. This training model is quite minimal as a result