CloudFactory vs. Humans in the Loop: Selecting the Best Data Labeling Vendor

1. CloudFactory vs. Humans in the Loop: Company Profiles
   1. CloudFactory Company
   2. Humans in the Loop Company
2. Services and Products
   1. CloudFactory Services and Products
   2. Humans in the Loop Services and Products
3. Pricing Models
4. Dataset Types
   1. CloudFactory Dataset Types
   2. Humans in the Loop Dataset Types
5. Data Annotation Tools
   1. CloudFactory Annotation Tools
   2. Humans in the Loop Annotation Tools
6. Integrations
   1. CloudFactory Integrations
   2. Humans in the Loop Integrations
7. Annotation Process
   1. CloudFactory Annotation Process
   2. Humans in the Loop Annotation Process
8. Quality Assurance
   1. CloudFactory QA
   2. Humans in the Loop QA
9. Security and Data Compliance
10. TL;DR
11. FAQ

In the rapidly expanding field of data labeling for machine learning, CloudFactory and Humans in the Loop stand out as top service providers. CloudFactory taps into a global talent pool to deliver scalable solutions for companies like Hummingbird Technologies and Drive.ai. Conversely, Humans in the Loop excels with a dedicated team focused on high-quality annotations for clients such as TrialHub and Imperial College London.

To save you time and effort, we've compared their offerings to help you determine which data labeling company is the best fit for your ML project.

CloudFactory vs. Humans in the Loop: Company Profiles

CloudFactory Company

CloudFactory offers human-in-the-loop (HITL) data labeling solutions, leveraging a global, on-demand workforce supported by AI technology. With a talent pool of over 7,000 data annotators, CloudFactory is trusted by more than 700 AI companies. Established in 2010 by Mark Sears, the company has a presence in the UK, US, Nepal, and Kenya. As of 2024, Kevin Johnston has taken on the role of CEO, with Sears transitioning to Executive Chairman.

Humans in the Loop Company

Humans in the Loop is a social enterprise dedicated to ethical dataset annotation and AI model validation services. Headquartered in Sofia, Bulgaria, the company employs over 250 specialists across locations including Malaysia, Ukraine, Turkey, and the Middle East. A core mission of Humans in the Loop is to support individuals from conflict-affected regions and those displaced by providing meaningful job opportunities.

Services and Products

CloudFactory Services and Products

CloudFactory offers a wide range of human-led AI solutions, including data curation, annotation, quality assurance, and model optimization. While CloudFactory specializes mainly in computer vision data annotation, their support for natural language processing (NLP) is more limited, especially for languages other than English. Their key services consist of:

Data Labeling:

• Accelerated Annotation

• Workforce Plus (workforce + tech)

• Vision AI Managed Workforce

• NLP

• Data Processing

Human-in-the-Loop Automation:

• Managed Workforce

In terms of product offerings, CloudFactory expanded its portfolio by acquiring Hasty in 2022. It’s a data-centric machine learning platform tailored for computer vision applications, providing AI-powered image annotation, quality control, and a no-code model building solution.

Humans in the Loop Services and Products

Humans in the Loop provides data labeling services with a strong focus on computer vision. Their core activities encompass:

• Dataset annotation

• Dataset collection

• Human-in-the-loop for active learning

• Real-time edge case handling

• Reinforcement learning with human feedback

For projects centered on computer vision, Humans in the Loop offers more than just data annotation. They can also gather data, review your final models, and support testing prior to deployment.

Pricing Models

Dataset Types

CloudFactory Dataset Types

CloudFactory's data labeling services cater to both computer vision and NLP datasets. They support annotation formats like PNG Masks, JSON, and COCO for import, and offer export in formats such as COCO, Pascal VOC, JSON, and PNG Masks. The company handles 2D image and video data, working with image formats including PNG, JPG, WEBM, HEIC, BMP, and TIFF, as well as all video formats compatible with FFmpeg.

Humans in the Loop Dataset Types

When labeling data for machine learning projects, Humans in the Loop handle most common dataset formats. They frequently work with JSON, Yolo, COCO, and Pascal Voc XML. Additionally, they are flexible and can accommodate specific formats for both data import and export based on your needs.

Data Annotation Tools

CloudFactory Annotation Tools

CloudFactory provides a platform along with its data annotation services, offering the flexibility to either utilize the company’s tools or integrate them with your existing software. Their data analysts can adapt to custom tools to meet your ML project requirements. This makes CloudFactory an excellent choice for those who have their own tools but need help scaling their labeling tasks.

Additionally, CloudFactory collaborates with other data labeling companies that have their own tool sets to provide a complementary workforce solution. Some of their preferred tool partners include Dataloop, Datasaur.ai, and Labelbox.

For automation, CloudFactory offers various features, such as label assistants, fully automated labeling, active learning, AI-consensus scoring, and more automation options.

Humans in the Loop Annotation Tools

Humans in the Loop utilizes a variety of tools from open sources and their partners' paid services. They collaborate with notable market players in data labeling and data management, including Alegion, Diffgram, Human Lambdas, Hasty, and Kili Technology. Additionally, they work with Lightly, V7, Manthano, Superannotate, and Segments.ai.

If you prefer the team to use your specific tool, this option is available for an additional fee. With their extensive experience, the specialists can also provide feedback on your tool and suggest any necessary improvements.

Integrations

CloudFactory Integrations

CloudFactory seamlessly integrates with major cloud storage services like AWS S3, Google Cloud Storage, and Azure Blob Storage to facilitate smooth data transfer. Moreover, they support various ML frameworks, including TensorFlow and PyTorch, to enhance the efficiency of model training workflows.

They also provide a REST API for automating and outsourcing back-office data tasks, and for programmatically managing labeling projects. This API integration enables developers to effortlessly link data tasks with their existing applications, simplifying workflow management.

Humans in the Loop Integrations

Humans in the Loop offer integration with APIs or other tools upon request as an additional service. If you integrate through APIs, you can create tasks for the team to execute. You also have the option to specify the URLs where you would like the final annotated datasets to be delivered.

Annotation Process

CloudFactory Annotation Process

CloudFactory adopts a comprehensive approach to data labeling rather than following a traditional process. Their integrated annotation workflow involves several essential steps:

• Free analysis

• Team onboarding

Only after that, data annotation process starts with:

• Data annotation

• Quality assurance (QA)

• Process iteration

• Project management

Additionally, for each project, CloudFactory assigns a dedicated Client Success Manager and Delivery Team Lead, along with a Channel Manager to offer continuous support.

Humans in the Loop Annotation Process

When partnering with Humans in the Loop for your machine learning projects, the annotation process follows these steps:

1. Introduction call

2. Free trial

3. Fine-tuning

4. Contract finalization

5. Project delivery

Quality Assurance

CloudFactory QA

Data annotators at CloudFactory ensure highly accurate annotations by employing both automated checks and human review, backed by a 100% QA guarantee. Here’s a breakdown of data quality measures at CloudFactory:

1. Built-in QA: Integrated quality assurance processes.

2. Model Feedback: Utilizing feedback from machine learning models to enhance accuracy.

3. Multi-layered Quality Control: A thorough approach to assessing data labeling accuracy, including:

   • Gold Standard: Setting benchmarks for quality.

   • Sample Review: Regular examination of sample annotations.

   • Consensus: Agreement among multiple annotators to ensure accuracy.

   • Intersection over Union (IoU): A metric to measure the accuracy of annotated regions.

Humans in the Loop QA

Like most data annotation companies, Humans in the Loop conducts multiple checks on annotated datasets. Their two-tiered QA process includes:

1. Project Supervisor: Each project is assigned a dedicated supervisor who reviews every piece of annotated data, ensuring it meets predefined acceptance criteria.

2. QA Team: The QA team performs a comprehensive review of the entire project before it is delivered to the client.

Security and Data Compliance

TL;DR

To sum it up, both CloudFactory and Humans in the Loop can be a good data labeling partner, especially if you focus on computer vision tasks. CloudFactory is bigger, with more annotators and large-scale projects. Humans in the Loop, in their turn, have a social mission, which might interest you to support.

In terms of pricing, the two companies don't differ that match, but Humans in the Loop stands out if you're looking for a free pilot annotation. Besides, you can partner with them for other services.

However, if you’re looking for a partner who would provide high-quality data annotation in multiple languages, and who is also data compliant, then try our services running a free pilot.

Run free pilot!

FAQ

by Maria Shepeta
on July 4, 2024. Share on LinkedIn Post on Twitter