Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
☆74Nov 7, 2022Updated 3 years ago
Alternatives and similar repositories for Label-Pixels
Users that are interested in Label-Pixels are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰☆27May 4, 2019Updated 6 years ago
- ☆12Jun 12, 2020Updated 5 years ago
- Deep learning for land cover mapping☆20Jul 2, 2021Updated 4 years ago
- Deep-learning applied to semantic segmentation of remote sensing data☆22Oct 8, 2019Updated 6 years ago
- Achieved a jaccard index of 0.75 with 100 images.LandCoverNet is a global annual land cover classification training dataset with labels f…☆12Oct 1, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery☆141Nov 19, 2022Updated 3 years ago
- Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery☆34Jun 11, 2020Updated 5 years ago
- A repository folder regarding phenology extraction scripts utilizing existing packages (i.e. TIMESAT, CropPhenology) and proposing new me…☆13Aug 24, 2021Updated 4 years ago
- This repository contains the computer code of a semi-automated framework for land cover mapping using OBIA and local USPO☆18Sep 10, 2020Updated 5 years ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆49Aug 29, 2021Updated 4 years ago
- ☆15Jun 29, 2024Updated last year
- GIS.lab - total reduction of deployment and maintenance costs for complete free and open source geospatial infrastructure☆41Updated this week
- PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection☆27Feb 28, 2023Updated 3 years ago
- Code & trained network files of FCNs to delineate agricultural field boundaries☆28Mar 23, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Fog Prediction using 3D CNN with dense block and attention☆20Jul 17, 2024Updated last year
- ☆17Nov 6, 2019Updated 6 years ago
- Codes for the 'Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images'☆44Jul 30, 2021Updated 4 years ago
- Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)☆46Dec 11, 2019Updated 6 years ago
- Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)☆14Jul 20, 2020Updated 5 years ago
- Semantic segmentation for remote sensing images☆22Jun 23, 2021Updated 4 years ago
- Leveraging Segment-Anything Model (SAM) to delineate crop field boundaries on Sentinel-2 images☆23Sep 17, 2023Updated 2 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆201Aug 25, 2022Updated 3 years ago
- Labeling object bounding boxes in images, capture image ROI. Python and OpenCV.☆13Oct 9, 2019Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 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☆219May 30, 2020Updated 5 years ago
- The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.☆141Apr 21, 2020Updated 5 years ago
- A Python package that allows for the processing of remote sensing images and GIS data.☆41Feb 15, 2026Updated last month
- Semantic Segmentation with SegFormer on Drone Dataset.☆21Jun 24, 2022Updated 3 years ago
- This is the code of "Hyperspectral Image Semantic Segmentation in Cityscapes".☆12Sep 2, 2021Updated 4 years ago
- apply deeplabv3+ into remote sensing field, especially for semantic segmentation.☆14Nov 22, 2019Updated 6 years ago
- Scalable workflow for crop boundary delineation using pre-trained deep learning model☆11Jul 20, 2023Updated 2 years ago
- Targeted synthesis of multi-temporal remote sensing images for change detection using siamese neural networks☆24Feb 15, 2019Updated 7 years ago
- Semantic Segmentation of Aerial Images☆25Oct 6, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication☆32Mar 19, 2022Updated 4 years ago
- using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data☆13May 16, 2020Updated 5 years ago
- Earth Observation for Python. A collection of helper functions and classes to read, process and save geospatial data☆13Jan 18, 2021Updated 5 years ago
- RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.☆113Mar 17, 2023Updated 3 years ago
- Fuzzy based segmentation of remotely sensed images using an Adaptive Neuro Fuzzy Inference System (ANFIS).☆20Nov 14, 2022Updated 3 years ago
- Python version of some usefuly Google Earth Engine utilities (migrated from /users/gena/packages JavaScript)☆29Jul 5, 2025Updated 9 months ago
- Multi-Scale-Dilation Net, a deep neural network designed for semantic segmentation task.☆10Feb 15, 2021Updated 5 years ago