lapix-ufsc / dl-tutorials

This repository contains demonstrations done with deep learning computer vision models.

Deep Learning tutorials

Content

This package/repository is not a library, but a set of tutorials using several libraries with models and utilities for computer vision using deep learning.

These tutorials were built in a way that their contents are self-contained, and that they can be used as a basis for other experiments.

The tutorials will cover models and tools for semantic segmentation, object detection, image classification, tracking, augmentation, model evaluation, among other topics.

Datasets

These tutorials are the fruit of different Lapix researchers, who throughout their masters or doctoral degrees developed several computer vision datasets.

Therefore, these tutorials were created from experiments using the following datasets:

1. CCAgT: Images of Cervical Cells with AgNOR Stain Technique
2. Clouds-1000
3. UFSC OCPap: Papanicolaou Stained Oral Cytology Dataset (v4)

Authors

Name	GitHub	Orcid
Aldo von Wangenheim	@awangenh	0000-0003-4532-1417
João Gustavo Atkinson Amorim	@johnnv1	0000-0003-3361-6891
André Victória Matias	@andrevmatias	0000-0003-0268-0233