fwm333

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

prepare_detection_dataset

convert dataset to coco/voc format

DeepForest

Python Package for Airborne RGB machine learning

EESRGAN

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

pycrown

PyCrown - Fast raster-based individual tree segmentation for LiDAR data

NeonTreeEvaluation

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

VHR-10_dataset_coco

Object detection and instance segmentation dataset for VHR remote sensing images further marked on the NWPU VHR-10 dataset and SSDD dataset according to the standard coco dataset.

An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

AOPG

Anchor-free Oriented Proposal Generator for Object Detection

CATNet

🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2024)

DeepLidar

LIDAR and RGB Deep Learning Model for Individual Tree Segmentation

image_seg

A Strong Baseline for Image Semantic Segmentation

shp2coco

a tool to convert .shp file (ArcGIS format) to .json file (COCO datasets).

centroid-unet

Centroid-UNet is deep neural network model to detect centroids from satellite images.

CrownSeg

Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs

HFANet

Keras-Weighted-Binary-Cross-Entropy

loss function for keras

RAANet

A semantic segmentation method for high resolution image

MSFC-Net

Multi-Scale Semantic Fusion-Guided Fractal Convolutional Object Detection Network for Optical Remote Sensing Imagery

separate_instances

Bunch of algorithms to be used during post-processing for separating individual trees.

object_detection_in_remote_sensing_images

Object detection in remote sensing images using CNN and attention mechanism

public-tree-counting

CNN-Sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

DeepLearningCounting

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

Semantic_segmentation

Lab rotation: Perform image segmentation using Keras framework and U-net model

2018KaggleUnet-ft-weightmap

Cell image segmentation weight map for UNet.

AerialDetection