Datasaur vs Segments.ai
Datasaur
datasaur.aiSegments.ai
segments.aiSide by side
| Figure | Datasaur | Segments.ai |
|---|---|---|
| Price from | $2/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 4 | 4 |
| Spec score · Data Labeling Software | 8.3 (#7) | 8.0 (#13) |
| Company history | Datasaur was founded in 2019 and is headquartered in Silicon Valley. | Segments.ai says it launched in 2020 as a data labeling solution designed for segmentation. |
| Integrations | Datasaur integrations include Amazon Textract, Google Cloud Vision, OpenAI, spaCy, Hugging Face, Amazon Comprehend, Azure AutoML, GCP Vertex AI, AWS S3, Google Cloud Storage, and Azure Blob Storage. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Self-hosting | Self-hosted deployments are available using Kubernetes with Helm Chart or Docker. | 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 | Datasaur directs users with questions to its support team at email support. | Fusion includes priority support and mail, Slack, and Discord support. |
Plans
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
In their own words
Datasaur
Datasaur is a web-based platform for labeling data and coordinating labeling teams. Data Studio handles span, textual or row classification, document classification, OCR, bounding boxes, audio, and conversational labeling. LLM Labs adds sandbox experimentation, knowledge bases, human rating and ranking, and automated evaluation. The Models catalog contains over 200 base models and supports Amazon SageMaker JumpStart, Amazon Bedrock, Azure OpenAI, OpenAI, and Google Vertex AI. Integrations include OCR, language-processing, machine-learning, and cloud-storage services such as Amazon Textract, spaCy, Hugging Face, AWS S3, Google Cloud Storage, and Azure Blob Storage. The API supports webhook import and export, project creation and export, OAuth 2.0, and GraphQL; OAuth credentials are available only on Growth and Enterprise plans. Self-hosting is available with Kubernetes and Helm Chart or Docker. Datasaur states that it maintains SOC 2 Type 2, GDPR, and HIPAA compliance, with encryption at rest and in transit. Free includes one user, 5,000 labels per year, and 100MB storage. Paid plans start at $5,000/yr, and a 14-day trial is listed.
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.