Toloka is a crowdsourcing platform developed by Yandex, which allows businesses and researchers to outsource various tasks that require human intelligence. These tasks can range from data labeling and annotation, content moderation, surveys, image tagging, sentiment analysis, and many more tasks that are difficult for machines to complete automatically. Individuals who complete tasks on the platform are called "Tolokers" and earn small payments for each task they finish.
Here are some key aspects of Toloka:
1. **Task Diversity**: Toloka offers a variety of tasks in different languages and categories. Common tasks include image classification, audio transcription, text moderation, and data verification.
2. **Use Cases**: Businesses often use Toloka for tasks like training machine learning algorithms (e.g., labeling data for AI models), performing quality checks, and gathering user feedback.
3. **Global Workforce**: Toloka has a large global community of contributors who participate in the tasks. Tolokers come from many countries and can often choose tasks in their local languages.
4. **Payment**: Workers receive compensation for the tasks they complete, usually small sums per task. The payment can be withdrawn through various methods depending on the region.
5. **Quality Control**: Toloka incorporates several quality control mechanisms, such as task redundancy (having multiple people complete the same task) and qualification tests, to ensure the accuracy of results.
6. **Applications in AI and ML**: The platform is especially popular for machine learning projects where annotated or structured data is crucial, such as computer vision, natural language processing, and speech recognition models.
If you were asking about something more specific within Toloka, feel free to clarify!