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Toloka Tech
In our technical blog, researchers and engineers from Toloka write about machine learning, crowdsourcing, data collection and engineering.
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Classifying noisy images: Machines vs. humans
Classifying noisy images: Machines vs. humans
We compared the noise robustness of humans and ResNet-50 model using salt-and-pepper and Gaussian noise. Unexpected results found.
Daniil Likhobaba
Feb 28, 2023
Choosing the best architecture for your text classification task
Choosing the best architecture for your text classification task
A review of models based on real-world applications
Viacheslav Zhukov
Feb 15, 2023
Privacy and speed: The story behind our face blurring solution
Privacy and speed: The story behind our face blurring solution
Toloka provides an easy way to collect data about the offline world. When you need images of certain locations like buildings or streets…
Asia Kolupakhina
Aug 24, 2022
Automating crowdsourcing quality control
Automating crowdsourcing quality control
In one of our previous posts we talked about evaluating your crowd-labeled data. Now that we’re familiar with these concepts, let’s…
Stepan Nosov
Aug 5, 2022
Guide: Evaluating the Quality of Crowd-Annotated Data
Guide: Evaluating the Quality of Crowd-Annotated Data
How good is your data?
Boris Tseytlin
Jul 15, 2022
Reinforcement Learning without Reward Engineering
Reinforcement Learning without Reward Engineering
In recent years Reinforcement Learning has shown significant progress for many tasks from playing Atari games and Go to plasma control…
Nikita Pavlichenko
Jun 8, 2022
Prefect + Toloka: Painless Automation of Data Pipelines
Prefect + Toloka: Painless Automation of Data Pipelines
Automate the creation of high-quality large datasets for ML
Evgeniya Sukhodolskaya
May 19, 2022
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