Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)
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Updated
Nov 8, 2021 - Python
Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)
A traffic light detector module that utilizes Faster R-CNN ResNet101 (COCO)
Implemented pose aware face recognition network to Improve the performance of face recognition task for the faces at extreme joint pitch and yaw view angles.
Object Detection in Twilight
example of segment-anything and detr-resnet-101 with fastapi
Training model to detect Pneumonia from chest X-ray images
Implementation of resnet.
AI Models Implementation on Tensorflow
Implementation of ResNet series Algorithm
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
Real-time object detection and live stream analysis using Jetson Nano with TensorFlow Centernet ResNet_101 model, OpenCV, and RTSP stream integration.
DeepLabV2-ResNet101 implementation in TensorFlow and python 3
Melanoma Classification using Semi-supervised learning
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)
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
Detecting phenotypic traits such as leaf and collar count in soybean plants using deep learning
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