TernausNetV2: Fully Convolutional Network for Instance Segmentation
Implement a network for identifying and segmenting objects in images, particularly for satellite imagery.
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TernausNetV2 has 544 stars on GitHub. It has been forked 111 times. TernausNetV2 is written mainly in Jupyter Notebook. It has been in active development since 2018. TernausNetV2 is available under the BSD-3-Clause license. Its main topics are computer-vision, deep-learning, image-segmentation, python.
TernausNetV2: Fully Convolutional Network for Instance Segmentation
TernausNetV2 is an open-source project. It is released under the BSD-3-Clause license.
Yes. TernausNetV2 is free and open source — you can use, modify and self-host it.
TernausNetV2 is available under the BSD-3-Clause license.
TernausNetV2 is written mainly in Jupyter Notebook.
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