brakuta's repositories
DeepForest
Python Package for Tree Crown Detection in Airborne RGB imagery
keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
NeonTreeEvaluation
Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery
aerial-imagery-segmentation
Codebase for the MSc thesis paper Aerial Imagery Pixel-level Segmentation
awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
awesome-satellite-imagery-datasets
List of satellite image training datasets with annotations for computer vision and deep learning
CROPTD
Dataset for "Cross-Regional Oil Palm Tree Detection"
eo-learn
Earth observation processing framework for machine learning in Python
HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox
This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
keras-retinanet
Keras implementation of RetinaNet object detection.
keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Landsat-Classification-Using-Convolution-Neural-Network
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
models
Models and examples built with TensorFlow
NiftyNet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
raccoon_dataset
The dataset is used to train my own raccoon detector and I blogged about it on Medium
ResUnet-a
For the semantic segmentation of remote sensing image, tensorflow implementation
ResUnet-a_multitasking
This is a reimplementation of ResUnet-a d6 with simple multitasking in keras/tensorflow 2.0
Satelight-Image-Semantic-Segmentation-Unet-Tensorflow-keras
Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
segmentation-enhanced-resunet
Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.
Semantic-Segmentation-of-Remote-Sensing-Images
遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python
Semantic-segmentation-of-remote-sensing-images-1
遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+
Summary-and-Practice-of-Semantic-Segmentation
This is a survey and practice of semantic segmentation network. Taking the satellite image segmentation as the research task, several classic neural networks based on deep learning are tested.
UNet-Satellite-Image-Segmentation
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.