Workshop CDK Template to provision infra for the Deep Visual Search workshop
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Updated
Jul 29, 2024 - Python
Workshop CDK Template to provision infra for the Deep Visual Search workshop
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.
Xception model to predict Dog's breed from it's image
[Bachelor Graduation Project] Use Xception model for face anti-spoofing
In this project I created an AI model that recognizes faces from a camera placed on the entrance to a classroom, this can be used easily to create a login/logout system with a camera placed to the other direction recognizing faces coming in and out of the classroom, and made it accesible via microservices with gRPC.
Tagging images of bank cheques
Benchmarking various Computer Vision models on TinyImageNet Dataset
Deep learning based tool for image processing. No need for Programing and GPU.
This Repo Is about Implementation Of Pre-Trained Models from scratch using Tensorflow
ImageClassifier-Keras Custom Image Classifier using Custom model and pre-trained models like MobileNet, VGG, ResNet, EfficientNet,..etc with help of Tensorflow and Keras
As part of a Cloud and Distributed Systems lecture, we developed a scalable application in the form of an image classifier meant for deployment on Kubernetes. We also created our own Kubernetes infrastructure bare metal server, complete with loadbalancing and ingress-support.
Anime image theme classification model and its webApp.
This project is for automatical attendence system where user can capture images of particular person on runtime and train it. Also track that person and maintain record.
WGAN-GP를 이용해 생성한 가짜 사람 피부로 학습을 시킨 아토피 중증도를 분류해주는 XceptionV2모델을 서빙하는 웹사이트입니다.
Recyclables manager fine-tuned on XCeption using Kaggle's GPU instances.
Deployment of the Omdena Algeria Chapter
DeepLab v3+ model in PyTorch. Support different backbones.
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