Ajinkya Bobade's starred repositories
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
keras-maskrcnn
Keras implementation of MaskRCNN object detection.
UNet-Segmentation-in-Keras-TensorFlow
UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.
streamlit-launchpad
Browse a folder containing multiple streamlit apps and launch them immediately
Detectron2-Train-a-Instance-Segmentation-Model
Learn how to train a custom instance segmentation model with Detectron2
Dimensionality-reduction-and-classification-on-Hyperspectral-Images-Using-Python
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
MSTAR_tensorflow
Tensorflow Project to Classify MSTAR image chips
WaveletCNN_for_TextureClassification
Caffe implementation of a paper, "Wavelet Convolutional Neural Networks for Texture Classification" (arXiv, 2017)
sentinel_lakeice
[ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.
Rooftop-Instance-Segmentation
VGG-16 Model to Segment Rooftops from Aerial Imagery
tensorflow_model_deployment
Exporting the Mask RCNN with TF-Serving (REST, GRPC, Notebooks provided)
Mask-RCNN-for-Off-Nadir-Building-Detection
Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset
airbus-ship-detection-using-keras-retinanet-maskrcnn
Detection and segmentation of ship instances in satelite images using Keras Retinanet and Keras MaskRcnn.
retinanet-player-ball-detection
Player and Ball Detection with RetinaNet
SAR-Despeckling
Project to compare different despeckling techniques
mrcnn_serving_ready
đź› Converting Mask R-CNN Keras model to Tensorflow model and Serving model
pytorch-flask-docker-object-detection-API
REST-API for pytorch object-detection using Docker