{"name": "QClassificationToolbox", "package_name": "QClassificationToolbox", "description": "Satellite image classification and AOI-based raster reclassification toolkit.", "about": "QClassificationToolbox is a QGIS plugin for satellite and raster image classification using supervised and unsupervised machine learning methods. It supports Minimum Distance, Maximum Likelihood, Random Forest, Support Vector Machine, Extra Trees, Gradient Boosting, K-Means, Mini-Batch K-Means, and Gaussian Mixture Model classification. The plugin also provides AOI-based raster reclassification, allowing users to assign class values to selected areas while preserving the original raster.", "homepage": "https://gitlab.com/Kavya_Sk/QClassificationToolbox", "repository": "https://gitlab.com/Kavya_Sk/QClassificationToolbox", "tracker": "https://gitlab.com/Kavya_Sk/QClassificationToolbox/-/work_items", "author": "Kavya S K, Binoy C", "tags": ["classification", "raster", "satellite", "remote sensing", "machine learning", "land cover", "lulc", "reclassification", "aoi", "image processing", "spectral"], "downloads": 25, "latest_version": "1.0.0", "versions": [{"version": "1.0.0", "experimental": false, "qgis_min": "3.22.0", "qgis_max": "3.99.0", "downloads": 25, "uploaded_by": "binoy194", "upload_datetime": "2026-10-31T04:34:08.497587"}]}