Alexander @AlBuslaev
CV/DL Minsk Joined January 2010-
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Our peer-reviewed open-access Albumentations paper has been published in the special issue Machine Learning in Python @InformationMDPI: mdpi.com/2078-2489/11/2… It covers the design considerations, main features, performance, & adoption of Albumentations albumentations.ai
We’re excited to be on the floor at #CES2020 in some of the most innovative products for automotive, navigation, and interactive experiences. Want to see what’s #builtwithmapbox? Follow this THREAD:
@AlBuslaev @creaf @cvtalks @Dipetm and @viglovikov are happy to announce [#albumentations 0.4.0] 10 new transforms 7 extra transforms got keypoints support 3+ channel images and masks debug mode YOLO bounding boxes speedups etc Read more here: github.com/albu/albumenta…
25 down. 1,599,975 to go. We just gave mapbox.com/showcase a new look - sharing the stories of 1.6 million developers big and small building with Mapbox. What are you creating? Show us using #builtwithmapbox so we can share your story, too.
I would like to announce that @AlBuslaev @creaf @cvtalks @viglovikov are releasing image augmentation library #albumentations v0.3.0. To simplify the reproducible #MachineLearning we added load / save to python dictionary, json, and yaml config files. github.com/albu/albumenta…
and we're live! Vision SDK launches at the Shanghai Automotive Show blog.mapbox.com/vision-sdk-lau… <-- deets on SDK features+neural network functionality. Go to vision.mapbox.com/install to download. Starting building w/ free tier, then only pay for what is used — no commitments necessary
❤️ Minsk — Рай для программистов mapbox.by
Bookmark this amazing library of image augmentations 😵 by #Kaggle Masters @AlBuslaev @creaf @viglovikov and @cvtalks | github.com/albu/albumenta… #resources #machinelearning
I would like to announce that @AlBuslaev @creaf @cvtalks @viglovikov are releasing image augmentation library #albumentations v0.2.0. The new features are key point transformations, multiple targets of the same type and many other improvements. github.com/albu/albumenta…
I would like to announce that after a few months of hard work we (@AlBuslaev @creaf @cvtalks @viglovikov) are releasing image augmentation library #albumentations v0.1.1 with an extended bounding box support and many other improvements. github.com/albu/albumenta…
"Albumentations: fast and.." is the #1 paper on Arxiv today in computer vision and pattern recognition. Github code (albumen...) supports their results. Congrats @alxndrkalinin @viglovikov. See it at assert.pub/arxiv/cs/cs.CV + assert.pub/papers/1809.06…. Please retweet.
And we’re live! vision.mapbox.com
Our paper was accepted as oral at ECCV 2018! "A Style-Aware Content Loss for Real-time HD Style Transfer" Artsiom Sanakoyeu*, Dmytro Kotovenko*, Sabine Lang (@lang254) , Björn Ommer Project page: compvis.github.io/adaptive-style… Source code is coming soon.
Who would compete in challenge knowing that prize is not guaranteed? Data Science Bowl #DataSciBowl is one of the highest profile competitions and winners still haven't received the prize from @nvidia. What a shame @kaggle, @BoozAllen, @broadinstitute your reputation at stake too
github.com/albu/albumenta… I am happy to announce that @AlBuslaev @creaf and I are open-sourcing a library for Image Augmentations. It is fast. It is diverse. Supports classification, segmentation, detection out of the box. Was used to win a number of #DeepLearning competitions.
"Ultimately, I believe these new SDKs from Mapbox will help usher in the next generation of AR, AI, and Autonomous Vehicle applications." forbes.com/sites/moorinsi…
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks: a winning solution for the #MICCAI2017 Endoscopic Vision Challenge Paper: doi.org/10.1101/306159 #PyTorch code & demo: github.com/ternaus/angiod… Joint work w/ @shvetsiya @viglovikov @ARakhlin
Congratulations to @AlBuslaev Selim Seferbekov and Victor Durnov! They crashed Satellite Imagery competitions (Urban3d and Spacenet), gave a shot to medical imaging in DSBowl 18 and easily won it! None of them has Ph.D., but they create State Of The Art models routinely.
Congratulations to @AlBuslaev Selim Seferbekov and Victor Durnov! They crashed Satellite Imagery competitions (Urban3d and Spacenet), gave a shot to medical imaging in DSBowl 18 and easily won it! None of them has Ph.D., but they create State Of The Art models routinely.
Summary of winning solution for @kaggle Data Science Bowl 2018 kaggle.com/c/data-science… - modified U-Net > Mask-RCNN - add borders btw cells as targets - heavy augmentations - deep encoders: DPN-92, Resnet-152, InceptionResnetV2 - watershed + morphology for postprocessing #dsb2018
The flagrant case of discrimination against participants from Russia @crowdanalytix_q launched the competition with total prize pool $8500 and no opportunity to participate for talented Russian data scientists bit.ly/2CUxgVD
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