Train your computer vision model by labeling image elements with bounding boxes, polygons or key points, as well as utilizing image segmentation and tagging based on your own ontology.
Collect a library of annotated images or videos — grade image quality, classify by type, identify objects or content, or receive any other judgments you need.
Get the text in PDF files annotated and transcribed to train your algorithms to better identify specific parts of documents, or validate and fine-tune the output of your own OCR models.
Perform side-by-side comparisons to decide which option works best and check that your images match descriptions, or get any other judgments you need to verify or clean up your data.
Make sure inappropriate content isn’t uploaded to your site. Set rules for all types of images and videos with instructions and details about what is acceptable and what is not.
Create collections of images and videos based on specific topics or motifs, lighting, angles or environments. Ask Tolokers to record video snippets according to your specifications and instructions.
Use Toloka to evaluate the performance of your search engine, find out which ranking model works best, and improve the search algorithm.
Categorize any kind of text into predefined categories or ontologies to get the training data you need to optimize your NLP model.
Categorize any kind of text by sentiment and reasons behind the sentiment for any purpose, from understanding customer reviews to spam filtering.
Train your chatbot, voice assistant, or any other conversational agent to better understand your user’s intent.
Power your conversational agent with text utterances collected by performers based on instructions or scenarios that you provide.
Create your own custom ontology to identify parts of speech, classify proper nouns, or label any other entities for your project or named entity recognition (NER) model.
Create or fine-tune a voice interface using speech samples recorded by Toloka performers according to your instructions, with fast turnaround and low prices. Enhance TTS (Text-to-Speech) and speech synthesis technologies with high-quality audio data.
Convert audio to text with Toloka transcribers or ask performers to check transcriptions for correctness and use resulting data to improve speech recognition models. Transcribe any number of audio files quickly and accurately.
Use Toloka to detect emotion, categorize topics, or identify events in audio samples or conversations to improve your model.
Collect information like website URLs or business hours, or categorize businesses by type, location, or size. Use Toloka to enrich business data and gather the information you need.
Conduct surveys of thousands of Toloka performers with a variety of backgrounds using various types of survey formats.
Generate any type or any amount of content, such as product descriptions, recipes or user manuals, for any kind of project, on-demand 24/7.
Gather information about businesses like name, phone number, menu, and opening hours. Digitize offline data for your projects and business goals.
Get information about actual in-store prices on your products and competitors' discounts at specific retail outlets, adjust your pricing to match.
Check where your products are placed and the allocated share of shelf space. Compare this data with information about competitors' products.
Get insights into staff performance, quality of service and demand for your products.
Use Toloka to learn about foot traffic and road traffic for analyzing strategic retail points.
Collect data for analyzing and monitoring outdoor advertising. Track promo campaigns.
“Toloka is the first place we go to prepare data for AI. To train the neural network, we need tens of thousands of annotated images. You can buy them for $4 each, or you can have images marked up in Toloka 10 times cheaper and get datasets that are ready to use for training algorithms. We use these datasets for developing self-driving vehicle technology.”
“Toloka is the first place we go to prepare data for AI. To train the neural network, we need tens of thousands of annotated images. You can buy them for $4 each, or you can have images marked up in Toloka 10 times cheaper and get datasets that are ready to use for training algorithms. We use these datasets for developing self-driving vehicle technology.”
