Label Studio vs Segments.ai
Label Studio
labelstud.ioSegments.ai
segments.aiSide by side
| Figure | Label Studio | Segments.ai |
|---|---|---|
| Price from | $99/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 4 |
| Spec score · Image Annotation Software | 9.1 (#1) | 8.1 (#11) |
| Spec score · AI Image Annotation Tools | 9.1 (#1) | 8.1 (#9) |
| Spec score · Data Labeling Software | 9.0 (#1) | 8.0 (#13) |
| Founded | HumanSignal is listed as founded in 2019. | 2020 |
| Funding | HumanSignal says it has raised $30 million from Redpoint Ventures, Unusual Ventures, Bow Capital and Swift Ventures. | Y Combinator says the company was funded in 2021 by Y Combinator, Merus Capital and Volta Ventures. |
| Integrations | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Public API | The REST API imports labeling data, exports annotations, connects machine-learning backends and synchronizes cloud-storage tasks. | A REST API is available at https://api.segments.ai/ and uses API-key authentication in an Authorization header. |
| Python SDK | The Python SDK is installed with pip and provides classes for project management, task import, annotation handling, filtering and asynchronous operations. | The Python SDK is installed with pip, exposes SegmentsClient, and supports dataset creation, sample upload, labeling and release export. |
| Rating on G2 | 3.5 out of 5 from 1 review | 4.6 out of 5 from 22 reviews. |
| Self-hosting | Community Edition can be installed with pip, Homebrew, Git or Docker and run locally or on infrastructure managed by the user. | The product is presented as a cloud platform; the reviewed documentation provides cloud access and customer-bucket options but no self-hosted deployment package. |
| Support | Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs. | Fusion includes priority support and mail, Slack, and Discord support. |
| What it does | Label Studio is an open-source platform for data labeling, AI evaluation and human-in-the-loop workflows across many data types. | Segments.ai is a cloud data-labeling platform for computer-vision, robotics and autonomous-vehicle teams, supporting images, videos, point clouds and multi-sensor data. |
Plans
Label Studio
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
In their own words
Label Studio
Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.
Segments.ai
Segments.ai is a data labeling platform for robotics and autonomous vehicle work, with tools for both images and 3D point clouds. Teams can mark data with segmentation, cuboids, bounding boxes, keypoints, polygons, and polylines, view images alongside point clouds, and project labels between sensors. For sequences, Batch Mode, merged point clouds, interpolation, and automated tracking support labeling across objects and frames. Image workflows include Superpixel, Autosegment, hover-and-click segmentation, and model predictions that teams can review and correct. Its Python SDK handles uploads, label downloads, dataset management, and webhooks; TensorFlow and PyTorch are named integrations. The product is available through web and API access, and datasets can be exported as JSON, PyTorch, TensorFlow, or Hugging Face formats. Core includes cloud bucket integrations. The company states it is EU based, ISO 27001 certified, and GDPR compliant. Pricing is on request, with a 14-day trial; a free academic license is available for non-commercial research at free.