Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Pixel_level_land_classification | 166 | 5 years ago | 4 | mit | Jupyter Notebook | |||||
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy. | ||||||||||
Cntk Python Web Service On Azure | 25 | 6 years ago | 2 | mit | Python | |||||
This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN | ||||||||||
Imageclassificationusingcntk | 6 | 6 years ago | mit | |||||||
Deep-learning based Image Classification |