QGIS Python Plugins Repository
Plugins tagged with: deep-learning
8 records found —
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Name | Featured | Downloads | Author | Latest Plugin Version ↑ | Created on | Stars (votes) | Stable | Exp. | |
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Produce Training Data For Deep Learning | — | 4308 | Pratyush Tripathy | Jan. 30, 2020 | Jan. 10, 2020 | (52) |
— | 0.4 |
The plugin fragments the remote sensing image, to be used as deep learning training datasets. | |||||||||
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DeepLearningTools | — | 2611 | Brazilian Army Geographic Service | March 8, 2021 | Oct. 27, 2020 | (1) |
— | 0.2.0 |
QGIS plugin to aid training Deep Learning Models | |||||||||
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Deep Learning Datasets Maker | — | 2647 | deepbands (Youssef Harby and Yizhou Chen) | Jan. 18, 2022 | Dec. 10, 2021 | (3) |
— | 0.2.1 |
tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets | |||||||||
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buildSeg | — | 4561 | deepbands (Yizhou Chen and Youssef Harby) | June 5, 2022 | Dec. 14, 2021 | (5) |
0.3 | 0.1 |
Deep learning building segmentation. | |||||||||
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Deepness: Deep Neural Remote Sensing | — | 8589 | PUT Vision | Sept. 28, 2023 | Oct. 20, 2022 | (54) |
0.5.4 | 0.3.0 |
Inference of deep neural network models (ONNX) for segmentation, detection and regression | |||||||||
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Mapflow | — | 66833 | Geoalert | Oct. 2, 2023 | July 9, 2021 | (64) |
2.3.0 | — |
Extract real-world objects from satellite imagery with Mapflow by Geoalert. Mapflow provides AI mapping pipelines for building footprints, roads, fields, forest and construction sites. | |||||||||
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Nimbo's Earth Basemaps | — | 1832 | Kermap | Oct. 23, 2023 | Sept. 4, 2023 | (121) |
0.3 | — |
Nimbo's Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world's entire landmass as captured by satellite imagery, updated every month. | |||||||||
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Artificial Intelligence Forecasting Remote Sensing | — | 837 | Hafssa Naciri; Nizar Ben Achhab; Fatima Ezahrae Ezzaher; Naoufal Raissouni | Oct. 24, 2023 | Oct. 24, 2023 | (5) |
0.1 | — |
This plugin allows time series forecasting using deep learning models. |
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