Oleg Zabluda's blog
Friday, January 25, 2019
 
What DeepMind’s AlphaStar beating StarCraft players means for AI research

https://towardsdatascience.com/what-deepminds-alphastar-beating-starcraft-players-means-for-ai-research-62ca70ccb403

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- posted by Oleg Zabluda @ 1:32 PM | permalink | | | technorati | bloglines | feedster
 
Matterport3D Research Dataset
Matterport3D Research Dataset
"""
We’re excited that groups at Stanford, Princeton, and TUM have painstakingly hand-labeled a wide range of spaces offered up by customers and made these labeled spaces public in the form of the Matterport 3D dataset.

This is the largest public dataset of its kind in the world, and the labeling of this dataset was a very significant effort.
[...]
This dataset contains 10,800 aligned 3D panoramic views (RGB + depth per pixel) from 194,400 RGB + depth images of 90 building-scale scenes. All of these scenes were captured with Matterport’s Pro 3D Camera. The 3D models of the scenes have been hand-labeled with instance-level object segmentation.
"""
https://matterport.com/blog/2017/09/20/announcing-matterport3d-research-dataset/

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- posted by Oleg Zabluda @ 11:44 AM | permalink | | | technorati | bloglines | feedster
 
Mask R-CNN for Object Detection and Segmentation | Matterport
Mask R-CNN for Object Detection and Segmentation | Matterport
"""
This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image.
"""
https://github.com/matterport/Mask_RCNN
https://github.com/matterport/Mask_RCNN

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- posted by Oleg Zabluda @ 11:42 AM | permalink | | | technorati | bloglines | feedster

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