starnet2
Removes stars from astrophotography images using ML models
StarNet2 is a macOS‑only tool that applies machine‑learning models to remove stellar points from astrophotography photographs, producing images that focus on nebular or galactic structures without the distraction of background stars. It is intended for photographers and hobbyists who need a streamlined way to clean up night‑sky exposures after capture, using automated processing rather than manual masking or stacking techniques.
The software bundles pre‑trained models that identify and subtract star signatures while preserving surrounding detail, allowing users to generate star‑free versions of their raw or processed frames. It runs locally on macOS, offering a stable release that can be downloaded from the project's website.
Documentation is minimal at present, with a simple download page and a brief homepage that notes future content may be added. The current focus is on providing a functional, ready‑to‑use solution for star removal in astrophotography workflows.
Reviews
Loading reviews…
Similar apps

Photo & Video Management
chaiNNer
Flowchart-based image processing GUI

Photo & Video Management
Lynkeos
Astronomical webcam image processing software
Photo & Video Management
Topaz DeNoise AI
Eliminate noise in your images

STEM Tools & Simulations
Netron
Visualiser for neural network, deep learning, and machine learning models

Photo & Video Management
CellProfiler
Open-source application for biological image analysis

File Management & Transfer
Nightshade
Tool that makes images unsuitable for AI model training