Best Data Labeling Software - Page 2
Data labeling software are an artificial intelligence tools that supervises data management, training data, model versioning, data sourcing, data annotation, quality control, and model production for data science and machine learning teams. These tools source, manage, label, train, and classify unstructured data such as texts, videos, images, audio, or PDF into labeled datasets to create efficient training data pipelines.
Data labeling, also known as data annotation tools or data tagging, is a building block for an AI development lifecycle for businesses. Businesses deploy data labeling software for industry-based applications like ML model generation, fine-tuning large language models (LLM), evaluating LLMs, computer vision, image segmentation, API calls, object detection, and tracking, named entity recognition, OCR, and text recognition. These AI models reduce the classification challenges for data science and machine learning teams and improve AI data management workflows to build efficient machine learning products.
Businesses use data labeling tools to label text data, audio files, images, and videos and gather real-time feedback from customers, stakeholders, and decision-makers to upgrade products. These tools are also used for sentimental analysis, question answering, speech recognition, and content generation. Data labeling tools can be integrated with generative AI software, project management software, MLOPs platforms, data science and machine learning platforms, LLM software, and active learning tools to label data, pre-train models, assure quality control, and operationalize ML production.
Additionally, these products provide security, provisioning, and governing capabilities to ensure only those authorized to make version changes or deployment adjustments can do so. These data labeling tools can differ in what part of the machine learning journey or workflow they focus on, including explainability, model testing, model validation, feature engineering, model risk, model selection, model monitoring, and experiment tracking. The ultimate goal of a data labeling platform is to build agile, precise, and cost-effective data training pipelines to enhance model response accuracy.
To qualify for inclusion in the Data Labeling category, a product must:
Best Data Labeling Software At A Glance
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- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Company Overview: CVAT.ai is a global provider of data annotation tools and services, known for developing one of the most popular open-source annotation tools, CVAT. In addition to the open-source
- 58% Small-Business
- 26% Mid-Market
- Overview
- User Satisfaction
- Seller Details
Playment’s GT Studio is a no-code, self-serve data labeling platform that is heuristically designed to help ML teams create diverse, high-quality ground truth datasets at an efficient cost, scale, and
- Computer Software
- 36% Enterprise
- 36% Small-Business
- Overview
- User Satisfaction
- Seller Details
BasicAI Data Annotation Platform (https://www.basic.ai/basicai-cloud-data-annotation-platform) is an All-in-One Smart Data Annotation Platform with strong multimodal feature and AI-powered annotation
- Information Technology and Services
- Computer Software
- 44% Small-Business
- 31% Mid-Market
92 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Alegion's managed service accelerates enterprise AI initiatives by validating, labeling, and annotating training data.
- Computer Software
- 38% Small-Business
- 31% Enterprise
2 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Shaip Data is a modern platform designed to gather high-quality, ethical data for training AI models. It has three main parts: Shaip Manage, Shaip Work, and Shaip Intelligence. The platform makes wor
- Computer Software
- 41% Enterprise
- 36% Small-Business
230 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Founded in 2013, Hive is a pioneering AI company specialized in computer vision and deep learning. Hive is focused on powering innovators across industries with practical AI solutions and data labelin
- 50% Enterprise
- 40% Small-Business
2,766 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling
- Information Technology and Services
- 57% Small-Business
- 38% Mid-Market
- Overview
- User Satisfaction
- Seller Details
Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks.
- Computer Software
- 52% Mid-Market
- 41% Small-Business
263 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vec
- Research
- 95% Small-Business
- 5% Mid-Market
483 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Supercharge your AI with human expertise. SUPA is here to help you streamline your data at any stage: collection, curation, annotation, model validation and human feedback. SUPA is trusted by AI tea
- 45% Mid-Market
- 45% Small-Business
13 Twitter followers
- Overview
- User Satisfaction
- Seller Details
This solution automatically identifies and trains the best performing deep learning model for text classification.
- 46% Mid-Market
- 38% Enterprise
1,109 Twitter followers
- Overview
- User Satisfaction
- Seller Details
UBIAI makes easy-to-use NLP tools to help companies analyze and extract actionable insights from their unstructured data.
- 47% Small-Business
- 35% Mid-Market
127 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Build better AI data faster! LinkedAI is a complete solution for taking control of your training data, with fast labeling tools, human workforce, data management, and automation features. An AI model
- Computer Software
- 43% Mid-Market
- 30% Small-Business
112 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Innotescus is a collaborative video and image annotation platform built to streamline Computer Vision development processes via seamless data handling, smart annotation tools, and intuitive collaborat
- 70% Small-Business
- 10% Enterprise
127 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Super.AI Intelligent Document Processing (IDP) extracts data from any document, ensuring seamless automation, reduced costs, and smarter decisions. 91-99%+ Accuracy $100M+ in Costs Saved 1M+Hours
- 50% Mid-Market
- 42% Small-Business
412 Twitter followers
