Our peer-reviewed open-access Albumentations paper has been published in the special issue Machine Learning in Python @InformationMDPI:
https://t.co/981XYi5MZa
It covers the design considerations, main features, performance, & adoption of Albumentations https://t.co/gd7EE20CoD
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:
@RyanSLewis07@AdamVanEtten@CosmiqWorks@Topcoder Still no results for #spacenet5 . It's not a good experience to wait for a month before results are announced. Usually hosts post results and then run all checks. Who don't pass checks - looses his place.
@RyanSLewis07@Topcoder Hi Ryan, do you plan to host on-line broadcast of this event? On what time? As one of participants I can't wait to see contest results
@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: https://t.co/1ghLhMxqdR
25 down. 1,599,975 to go. We just gave https://t.co/ehVRKPLMgQ 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.
https://t.co/COFoLh8Olw
and we're live! Vision SDK launches at the Shanghai Automotive Show https://t.co/qMiWunb85Y <-- deets on SDK features+neural network functionality. Go to https://t.co/pPtQRSrwED to download. Starting building w/ free tier, then only pay for what is used — no commitments necessary
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.
https://t.co/jng9RljvPd
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.
https://t.co/TditWXpg8J
"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 https://t.co/I7BXzpsNl4 + https://t.co/SHYkEofO1t. Please retweet.
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: https://t.co/3TEpKLfSZH
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
https://t.co/Q6U9aSkkaG
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." https://t.co/nL9Whiz8gS
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks: a winning solution for the #MICCAI2017 Endoscopic Vision Challenge
Paper: https://t.co/xCpizTgwn0
#PyTorch code & demo: https://t.co/QcgUvFEK7r
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. https://t.co/pTFbsuVKS7