Object Detection | Pixel Classification | Object Classification | Instance Segmentation |
Models: - Single Shot Detector - Retina Net - Faster RCNN Applications: - Detect trees, cars, airplanes, swimming pool, well pads. - Detect encroaching structures. - Moving objects like road cracks/catfish on video - Road signs, and other assets in oriented imagery - Detecting and counting vehicles. - Shipwrecks in Bathymetric data. - Fire hydrants in Oriented imagery.
| Models: - UNet Classifier - PSPNet Classifier - Deep Lab - Point Rend support for better accuracy Applications: - Land Cover Classification. - Pervious/Impervious Mapping. - Building Footprint Extraction. - Cloud detection. - Road detection. - Water meters from oblique images.
| Model: - Feature Classifier. Applications: - Damaged building classification. - Clean pools. - Broken/flashed insulators. - Identifying plant species.
| Models: - Mask RCNN Applications: - Building footprint extraction. - 3D roof reconstruction. - Sinkholes
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Scanned Map Digitization | Image Translation | Point Cloud Classification | Image Captioning |
Class: - Scanned Map Digitizatizer Applications: - Digitizing scanned maps. - Geo referencing Scanned maps.
| Models: - Pix2Pix - Cycle GAN - Super Resolution Applications: - SAR to Optical imagery. - Imagery to Map generation. - Annotate Imagery. - Increase image resolution.
| Models: - Point CNN Applications: - Classifying point cloud data (building/ground, etc) - Power line and utility poles extraction.
| Models: - Image Captioner Applications: - Annotating Images. - Accessibility for Images.
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Road Extraction | Change Detection | Edge Detection | |
Models: - Multi Task Road Extractor Applications: - Extract Road Networks - Routing
| Models: - Change Detector (based on STANet) Applications: - Identify new building. - Identify new construction.
| Models: - BDCN Edge Detector - HED Edge Detector Applications: - Residential parcel extraction. - Agricultural farm boundaries.
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