Sentiment and Image Classifier (Image labeling)
I labeled images of animal products such as meat, egg, honey, and wool to train a machine learning model for product recognition. The work required careful annotation of image datasets, enabling the model to effectively classify various animal-derived items. Tensorflow and Google Colab were used as primary tools for image labeling and model development. • Classified and tagged images of different animal products for supervised learning. • Utilized Python and Tensorflow for image preprocessing and annotation. • Organized and maintained a structured image dataset for efficient model training. • Supported the creation of an accurate image classification model for animal product identification.