Image Classification Experiment (AI Training/Data Labeling Project)
OtherImageClassification
This experience involved building and testing an image classification model using a small dataset to recognize specific objects. I experimented with model training workflows and evaluated accuracy as part of the process. The work focused on identifying object types from images through supervised learning techniques. Core competencies demonstrated included attention to detail and an understanding of foundational AI workflows.
• Used Python programming and machine learning frameworks to prepare and label image data.
• Managed small labeled datasets for training and testing classification models.
• Evaluated model predictions against labeled ground truth data.
• Explored basic data annotation practices in image-based tasks.
This experience involved building and testing an image classification model using a small dataset to recognize specific objects. I experimented with model training workflows and evaluated accuracy as part of the process. The work focused on identifying object types from images through supervised learning techniques. Core competencies demonstrated included attention to detail and an understanding of foundational AI workflows. • Used Python programming and machine learning frameworks to prepare and label image data. • Managed small labeled datasets for training and testing classification models. • Evaluated model predictions against labeled ground truth data. • Explored basic data annotation practices in image-based tasks.
Not specified