Brain Tumor Classification with various models
-
Updated
Jul 6, 2024 - Jupyter Notebook
Brain Tumor Classification with various models
Build a image classification python web app with Streamlit and PyTorch 🐱 🐶
Real-time object detection and live stream analysis using Jetson Nano with TensorFlow Centernet ResNet_101 model, OpenCV, and RTSP stream integration.
Click below to checkout the website
Click the link below to checkout the website
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
Drone Instance Segmentation using Mask RCNNN
numpy resnet101 implementation
A vector search engine for efficient similarity matching using feature maps for images
example of segment-anything and detr-resnet-101 with fastapi
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)
Explainable Image Caption Bot: Gives captions for images with explanations for each word in the caption (The part of the image where the AI model looks to generate a word). Uses Seq-to-Seq with attention model
This project was made for nails segmentation using deep learning models. __DeepLabV3Plus__ was used for segmentation problem. ResNet101 were used as encoder and imagenet weights were used as encoder weights.
[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
Check the effect of quantization on ResNets architecture
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.
BizzWatch - An app that analyses camera/video footage to audit business revenue and customers behaviour.
Training model to detect Pneumonia from chest X-ray images
AI Powered Covid-19 Intelligent Detector made by using Flask and CNN.
Add a description, image, and links to the resnet-101 topic page so that developers can more easily learn about it.
To associate your repository with the resnet-101 topic, visit your repo's landing page and select "manage topics."