fwm333's Stars
HaiXing-1998/HFANet
whut2962575697/image_seg
A Strong Baseline for Image Semantic Segmentation
MarkLiu379/RAANet
A semantic segmentation method for high resolution image
gicait/centroid-unet
Centroid-UNet is deep neural network model to detect centroids from satellite images.
yeliudev/CATNet
🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2024)
jbwang1997/AOPG
Anchor-free Oriented Proposal Generator for Object Detection
Jakaria08/EESRGAN
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
ZhAnGToNG1/AerialDetection
ZhAnGToNG1/MSFC-Net
Multi-Scale Semantic Fusion-Guided Fractal Convolutional Object Detection Network for Optical Remote Sensing Imagery
EEexplorer001/object_detection_in_remote_sensing_images
Object detection in remote sensing images using CNN and attention mechanism
chaozhong2010/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.
yjzhang3/2018KaggleUnet-ft-weightmap
Cell image segmentation weight map for UNet.
LiaoQianWu/Semantic_segmentation
Lab rotation: Perform image segmentation using Keras framework and U-net model
huanglau/Keras-Weighted-Binary-Cross-Entropy
loss function for keras
ankitkariryaa/CNN-Sentinel
Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)
ankitkariryaa/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
ankitkariryaa/DeepLearningCounting
ankitkariryaa/separate_instances
Bunch of algorithms to be used during post-processing for separating individual trees.
ankitkariryaa/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".
rachit-ranjan16/CrownSeg
Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs
weecology/NeonTreeEvaluation
Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery
weecology/DeepLidar
LIDAR and RGB Deep Learning Model for Individual Tree Segmentation
manaakiwhenua/pycrown
PyCrown - Fast raster-based individual tree segmentation for LiDAR data
weecology/DeepForest
Python Package for Airborne RGB machine learning
Dingyuan-Chen/shp2coco
a tool to convert .shp file (ArcGIS format) to .json file (COCO datasets).
iHubData-Mobility/public-tree-counting
labmlai/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, ... 🧠
obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
spytensor/prepare_detection_dataset
convert dataset to coco/voc format