Build a Custom-Trained Object Detection Model With 5 Lines of Code

Written by alanbi | Published 2020/02/17
Tech Story Tags: computer-vision | object-detection | deep-learning | python | pytorch | programming | machine-learning | image-recognition-in-photos

TLDR Detecto is a Python package built on top of PyTorch that makes the process easy and open to programmers at all levels. Detecto uses a Faster R-CNN ResNet-50 FPN, which is able to detect about 80 different objects such as animals, vehicles, kitchen appliances, etc. But what if you wanted to detect custom objects, like Coke vs. Pepsi cans, or zebras vs. giraffes? You’ll be glad to know that training a Detecto model on a custom dataset is just as easy.via the TL;DR App

no story

Written by alanbi | Student at Duke University studying computer science and statistics
Published by HackerNoon on 2020/02/17