Region Detection in Receipts
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Updated
Jul 22, 2019 - Jupyter Notebook
Region Detection in Receipts
An unofficial DeepLabV2 with the pre-train weight of ImageNet.
Final project of the Udacity Self-Driving Car Nanodegree
developed a model that can detect pneumonia from Chest X-Rays of the patient which has a significant level of accuracy in detecting pneumonia in comparison with practicing radiologists.
Traditional Machine learning and Deep learning approaches to classify Search for extraterrestrial intelligence Signal
ResNet Comparison for Garbage Image Classification with PyTorch - models trained on GPU, then pickled for analysis on CPU
Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)
Tensorflow 2 implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 from Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
Project to create a web app that detects and counts humans in images and videos. Currently experimenting with 2 ML models: Pointrend (ResNet backbone) & OpenCV's HOG descriptor
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
Drone Instance Segmentation using Mask RCNNN
A traffic light detector module that utilizes Faster R-CNN ResNet101 (COCO)
Implementation of resnet.
Deep Learning classification of chest x-rays using multiple transfer learning methods
AI Models Implementation on Tensorflow
This repository hosts all the scripts used in the implementation of bird detection models. We are using Convolutional Neural Networks(CNN)'s Faster R-CNN, Single Shot Detector(SSD), and YOLOv3 meta-architectures while utilizing ResNet-101, MobileNet, Inception ResNet v2 and VGG-16 feature extraction Networks (backbone network).
AI Powered Covid-19 Intelligent Detector made by using Flask and CNN.
Click the link below to checkout the website
BizzWatch - An app that analyses camera/video footage to audit business revenue and customers behaviour.
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