Roboflow vs SuperAnnotate
Roboflow
roboflow.com
SuperAnnotate
superannotate.comSide by side
| Figure | Roboflow | SuperAnnotate |
|---|---|---|
| Price from | $39/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 6 | 3 |
| Spec score · Image Annotation Software | 8.9 (#2) | 7.1 (#25) |
| Spec score · AI Image Annotation Tools | 8.9 (#3) | 7.1 (#22) |
| Spec score · Data Labeling Software | 8.8 (#3) | 7.0 (#22) |
| Spec score · AI Data Labeling Tools | 8.8 (#3) | 7.0 (#19) |
| Company history | Roboflow says Brad Dwyer and Joseph Nelson launched the company in 2020 after working on a computer vision project in 2019. | The company says it was founded in August 2018 and moved its headquarters to Silicon Valley in January 2019. |
| Founded | 2020 | 2018 |
| Integrations | Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier. | Listed dataset integrations include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage; the company also lists NVIDIA, AWS, Databricks, GCP, Snowflake, and IBM partnerships. |
| Support | Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat. | The Pro and Enterprise plans list a dedicated Slack channel and dedicated customer success manager; Enterprise also lists a dedicated solutions engineer. |
Plans
Roboflow
- Free TierFree
- Free TierFree
- Core$39 a month
- Core$39 a month
- EnterprisePriced on request
- EnterprisePriced on request
SuperAnnotate
- EnterprisePriced on request
- ProPriced on request
- StarterPriced on request
In their own words
Roboflow
Roboflow provides tools for building, deploying, and monitoring computer vision applications, from dataset preparation through model inference. Its dataset features include image annotation, video frame extraction, preprocessing, and augmentation; annotation types include boxes, polygons, segmentation masks, classification labels, and keypoints. Exports include JSON, XML, CSV, TXT, and more than 30 additional formats. A hosted inference API runs models on autoscaling infrastructure with load balancing and burst support. Deployment options include roboflow.js, NVIDIA Jetson, Luxonis OAK, iOS, self-hosting, VPC, and on-premise environments. The Free Tier costs nothing and includes 10 credits monthly, stated as enough for about 30 model trainings or 80,000 inferences. Core costs $39 a month, billed monthly, with 20 credits and a private workspace and models. The pricing comparison lists one model training at a time by default and 20 projects for Core. Roboflow states it encrypts data in transit and at rest and is SOC 2 Type 2 compliant; enterprise pricing is custom.
SuperAnnotate
SuperAnnotate is infrastructure for AI teams building, evaluating, and improving datasets until they are ready for training. It handles RL environments, RLHF, image, video, audio, LiDAR, and custom modalities. Model-assisted workflows can pre-label data, judge rubrics, score pass rates, and route items between models and human experts. Teams can configure workflows, roles, quality gates, dashboards, and project or contributor analytics. Annotation types include classification, key points, bounding boxes, polygons, polylines, tiled imagery, cuboids, and skeletons. The platform offers a Python SDK and API, team collaboration, and integrations with AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage. External storage connections are read-only and do not automatically import new files. It runs through web, macOS, Windows, and API access. SuperAnnotate was founded in 2018 and is headquartered in Silicon Valley. Pricing is paid and available on request.