Launch: Outsourced Labeling in Roboflow
Published Jun 27, 2023 • 3 min read

Roboflow now has an integrated solution to help our customers leverage third-party outsourcing services for image labeling. This solution allows you to get the labels you need to train high-quality models without having to set up an internal team for labeling.

In this blog post, we will explore how Roboflow’s customers can use our vetted third-party partners to outsource image labeling, resulting in improved scalability, cost-effectiveness, and accelerated development.

💡
You can get started today by having our annotators label your first 100 images for free, just submit this form. Quality and speed are our top priorities. You can select the outsource labeling button directly within your workspace.

The Importance of Image Labeling

Image labeling is an important process in the development of computer vision models. It involves assigning relevant tags or annotations to images, enabling algorithms to recognize and understand visual elements. Accurate labeling of vast amounts of data is essential for training computer vision systems to accurately detect objects, recognize patterns, and perform various tasks, such as object classification, object detection, and semantic segmentation.

While there are large amounts of public data available for use in models, it is hard to find data specific to your use case (i.e. identify a particular defect in a product). For all models, having annotated images tailored to your use case is crucial for building a high-performance model.

With our outsourced labeling solution, you can request detailed annotations for the images you need to train computer vision models.

Challenges Faced by Labeling Your Own Images

Labeling images in house often requires allocating significant internal resources. You need to find contributors who can label data, appoint owners to oversee the process, and more.

This approach presents several challenges, including time constraints, scalability limitations, and potential biases introduced by internal labeling teams. As the demand for more labeled data grows, it can become increasingly difficult for you to maintain the required scale, consistency, and efficiency in-house.

Outsourcing Image Labeling with Roboflow

To overcome these challenges, you can now use Roboflow’s preferred labeling partners to label images for your projects. These services provide access to a vast workforce of skilled annotators and advanced labeling tools, enabling you to label large datasets quickly and accurately. By partnering with Roboflow’s third-party providers, you can achieve:

  1. Scalability: Outsourcing image labeling allows you to handle large volumes of data without compromising quality or speed. Third-party providers can effortlessly scale their workforce to meet demanding project requirements, ensuring a seamless labeling process.
  2. Cost-effectiveness: Building and maintaining an in-house image labeling team can be expensive, requiring infrastructure, recruitment, training, and ongoing management. Outsourcing image labeling reduces costs significantly, as you only pay for the labeled data you require, without incurring additional overhead expenses.
  3. Expertise and Quality: Third-party image labeling providers have extensive experience in annotating diverse datasets and possess domain-specific expertise. Their annotators are trained to follow specific guidelines and maintain consistency, resulting in high-quality labeled data that improves the performance of computer vision models.
  4. Faster Development Cycles: By leveraging outsourcing, you can accelerate your development cycles. You can rapidly iterate and fine-tune their models by accessing large volumes of labeled data in shorter periods of time, ultimately leading to faster time-to-market for their products or services.
  5. Bias Mitigation: Internal labeling teams can unintentionally introduce biases due to various factors. Outsourcing to third-party providers introduces an additional layer of objectivity and diversity, reducing the risk of biased annotations and enhancing the overall fairness and inclusivity of the computer vision models.

Get Started Today

By partnering with Roboflow’s third-party providers, you can harness the power of a skilled workforce, advanced tools, and specialized expertise to label large datasets quickly and accurately. This approach not only accelerates the development of computer vision models but also enhances their accuracy, fairness, and overall performance.

To get started, select the "Outsourced Labeling" button in your Roboflow workspace, located under "Assign Images" in your annotations tab.

If you have additional questions, contact us and a member of our team will get back to you shortly.

Cite this Post

Use the following entry to cite this post in your research:

Kate Wagner. (Jun 27, 2023). Launch: Outsourced Labeling in Roboflow. Roboflow Blog: https://blog.roboflow.com/outsourced-labeling-roboflow/

Discuss this Post

If you have any questions about this blog post, start a discussion on the Roboflow Forum.

Written by

Kate Wagner
Kate is Operations Lead at Roboflow. She has a love for startups and building incredible teams. She also collects navy and white striped shirts.