Name: Luiz F. S. Coletta
Type: User
Company: Dell Technologies
Bio: Ph.D. in Computer Science from University of São Paulo (ICMC/USP). Currently working as a Senior Advisor Data Scientist at Dell Technologies
Location: Tupa, SP, Brazil
Blog: https://luizcoletta.github.io/
Luiz F. S. Coletta's Projects
Available data for lectures and classes
Python code for Mask R-CNN implementation which provides bounding boxes and segmentation masks on available images.
Python codes implementing deep neural networks for semantic image segmentation
Python codes (Google Colab) for subimages from an image annotation by using Fuzzy C-Means.
MATLAB code for aerial images feature extraction performing data fusion (old version: https://github.com/luizfsc/fce-remote-sensing)
Python codes to perform semantic segmentation by using deep neural networks
Python code for the extraction of deep visual features from aerial images
JAVA code that allows the use of various supervised and unsupervised machine learning algorithms from WEKA and ELKI libraries
Python code for detecting and learning new classes of threats present in crops
Matlab codes to detection of new patterns (plant diseases) in aerial images from crops
MATLAB code for feature extraction of aerial images and pattern recognition via clustering and classifiers.
Adaptation of SemanticGAN presented at CVPR, 2021 (https://nv-tlabs.github.io/semanticGAN/)
MATLAB code for the computation of vegetation indices from aerial images.
Python code for the detection of weeds in crops by using Deep Neural Networks.
Python implementation of the algorithm C3E (Consensus between Classification and Clustering Ensembles) based on a Squared Loss function (C3E-SL).
Personal Website
Python codes for cropping images with their corresponding ground truth according to an informed height and width