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Image captioning 2016 [8] R. Krishna et al. Berkeley 3-D Object Dataset 849 images taken in 75 different scenes. About 50 different object classes are labeled. Object bounding boxes and labeling. 849 labeled images, text Object recognition 2014 [9] [10] A. Janoch et al. Berkeley Segmentation Data Set and Benchmarks 500 (BSDS500)
vott.z22.web.core.windows.net VoTT ( V isual O bject T agging T ool) is a free and open source Electron app for image annotation and labeling developed by Microsoft . [ 1 ] The software is written in the TypeScript programming language and used for building end-to-end object detection models from image and videos assets for computer vision ...
Obtain access to GitHub. Follow the Git contribution instructions. Join the ITK Discourse discussion. The community is open to everyone. Anyone can submit a patch, and write access to the repository is not necessary to get a patch merged or retain authorship credit. For more information, see the ITK Bar Camp documentation on how to submit a patch.
Caffe supports many different types of deep learning architectures geared towards image classification and image segmentation. It supports CNN, RCNN, LSTM and fully-connected neural network designs. [8] Caffe supports GPU- and CPU-based acceleration computational kernel libraries such as Nvidia cuDNN and Intel MKL. [9] [10]
List of GitHub repositories of the project: Kubernetes SIGs This data is not pre-processed List of GitHub repositories of the project: Konveyor This data is not pre-processed List of GitHub repositories of the project: RedHat Marketplace This data is not pre-processed List of GitHub repositories of the project: Redhat blog This data is not pre ...
Automatic image segmentation; Analysis and visualization of diffusion tensor imaging data; Tracking of devices for image-guided procedures. Slicer is compiled for use on multiple computing platforms, including Windows, Linux, and macOS. Slicer is distributed under a BSD style, free, open source license. The license has no restrictions on use of ...
Some of the models implemented in this library include plane models that are often used to detect interior surfaces such as walls and floors. Next models are the lines, 2D and 3D circles in a plane, sphere, cylinder, cone, a model for determining a line parallel with a given axis, a model for determining a plane perpendicular to a user ...
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.