{"name": "Deep Learning Datasets Maker", "package_name": "deep-learning-datasets-maker", "description": "tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets", "about": "tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets. Divide remote sensing images and their labels into data sets of specified size. (512\u00d7512 for example)", "homepage": "https://github.com/deepbands/deep-learning-datasets-maker", "repository": "https://github.com/deepbands/deep-learning-datasets-maker", "tracker": "https://github.com/deepbands/deep-learning-datasets-maker/issues", "author": "deepbands (Youssef Harby and Yizhou Chen)", "tags": ["digitizing", "classification", "remote sensing", "roads", "feature extraction", "forest", "satellite", "forestry", "machine learning", "deep learning", "artificial intelligence", "construction detection", "building detection", "agricultural field detection", "datasets maker"], "downloads": 5579, "latest_version": "0.2.1", "versions": [{"version": "0.2.1", "experimental": true, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 4614, "uploaded_by": "deepbands", "upload_datetime": "2022-01-18T20:15:29.531264"}, {"version": "0.2", "experimental": true, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 571, "uploaded_by": "deepbands", "upload_datetime": "2021-12-25T02:42:27.174691"}, {"version": "0.1", "experimental": true, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 413, "uploaded_by": "deepbands", "upload_datetime": "2021-12-10T22:40:02.652596"}]}