Roboflow vs Segments.ai
Roboflow
roboflow.comSegments.ai
segments.aiSide by side
| Figure | Roboflow | Segments.ai |
|---|---|---|
| Price from | $39/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 6 | 4 |
| Spec score · Image Annotation Software | 8.9 (#2) | 8.1 (#11) |
| Spec score · AI Image Annotation Tools | 8.9 (#3) | 8.1 (#9) |
| Spec score · Data Labeling Software | 8.8 (#3) | 8.0 (#13) |
| Company history | Roboflow says Brad Dwyer and Joseph Nelson launched the company in 2020 after working on a computer vision project in 2019. | Segments.ai says it launched in 2020 as a data labeling solution designed for segmentation. |
| Founded | 2020 | 2020 |
| Integrations | Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Model-assisted labeling | Label Assist and other AI labeling tools use model predictions to help generate annotations, and the pricing page notes AI labeling uses credits. | Users can upload model predictions as pre-labels, verify them and correct errors inside the platform. |
| Rating on G2 | 4.7 out of 5 from 160 reviews | 4.6 out of 5 from 22 reviews. |
| Support | Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat. | Fusion includes priority support and mail, Slack, and Discord support. |
| What it does | Roboflow is a computer vision platform for collecting and labeling image or video data, training models, building vision applications, and deploying inference to cloud or edge devices. | 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
Roboflow
- Free TierFree
- Free TierFree
- Core$39 a month
- Core$39 a month
- EnterprisePriced on request
- EnterprisePriced on request
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
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.
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.