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MARCELO CLARO LARANJEIRA's Projects

app_tfl_para_modelo_ia icon app_tfl_para_modelo_ia

O aplicativo TensorFlow Lite é uma poderosa ferramenta que permite a incorporação de modelos de aprendizado de máquina para realizar a classificação de imagens.

attendance-with-face-recognition icon attendance-with-face-recognition

Facial recognition with high accuracy and create an Attendance project that will use webcam to detect faces and record the attendance live in an excel sheet.

autogen icon autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

automatic-image-captioning icon automatic-image-captioning

A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our choice of trainable parameters. I have trained the model on the Microsoft Common Objects in COntext (MS COCO) dataset and have tested the network on fictitious images!

automatic-image-captioning-using-cnn-lstm-deep-neural-networks-and-flask icon automatic-image-captioning-using-cnn-lstm-deep-neural-networks-and-flask

Image caption generation has emerged as a challenging and important research area following ad-vances in statistical language modelling and image recognition. The generation of captions from images has various practical benefits, ranging from aiding the visually impaired, to enabling the automatic and cost-saving labelling of the millions of images uploaded to the Internet every day. The field also brings together state-of-the-art models in Natural Language Processing and Computer Vision, two of the major fields in Artificial Intelligence. In this model, we has used CNN and LSTM to generate captions for the images and deployed our model using Flask.

blendergis icon blendergis

Blender addons to make the bridge between Blender and geographic data

cai icon cai

Personal Color Analysis AI System

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