Machine Learning Developer | Computer Vision

I developed a marine fish classifier using a RESNET 34 architecture with FastAI2, PyTorch, and Streamlit. The model achieved a training accuracy of 93%. To train the model, I utilized a dataset of 44,134 images scraped from the internet. Skills:

Tech stack: Python · PyTorch · FastAI · Streamlit · Computer Vision · Deep Learning · AI · ML

Github repo: https://github.com/tiagogiraldo/sea_fish_recognition