| Form factor | Software platform; runs on the cameras and compute you choose, or the Roboflow AI1 device | Data platform; FiftyOne for search, curation, visualization, and evaluation of visual data, plus FiftyOne Enterprise for teams |
| Open-source tooling | Yes; open-source inference server and supervision library | Yes; FiftyOne is Apache 2.0 licensed, with 11,000+ GitHub stars |
| Data and label types | Object detection, instance and semantic segmentation, classification, keypoints, OCR, depth estimation, and multimodal tasks | Broad; images, video, 3D scenes, lidar point clouds, and sensor streams, including cuboid and polyline labels |
| Dataset curation and search | Dataset versioning, preprocessing, and augmentation built in | Core strength; natural-language, visual similarity, and metadata search, with synchronized playback of video, 3D, and sensor data |
| AI-assisted labeling | Yes, Auto Label labels the classes you describe in a text prompt; Smart Polygon powered by Meta AI's Segment Anything; Label Assist pre-annotates with your own trained models | Yes; Agentic Labeling uses VLMs and text prompts, and SAM 2 propagates masks and tracks through video |
| Labeling team workflow | Yes, Admin, Labeler, and Reviewer roles with assignment tracking; annotation history with version revert | Yes, on Enterprise; multi-stage annotate and review workflows with task assignment and rejection loops |
| Interoperability | 40+ formats, including COCO, YOLO, and Pascal VOC | Yes; integrates with CVAT, Label Studio, V7, Labelbox, Hugging Face, and Ultralytics |
| Keeping models accurate | Built in; active learning and operator feedback send flagged images back into training; Vision Events logs every prediction and image; model monitoring on Enterprise | Evaluation focus; surfaces underperforming classes and failure patterns so you can curate and re-test |
| Edge hardware | Yes, NVIDIA Jetson, GPU servers, Raspberry Pi, x86, or Roboflow AI1, online or fully offline | Not documented |
| Deployment options | Managed cloud, customer VPC, on-premises, and fully air-gapped / offline | Cloud, multi-cloud, hybrid, on-premises, air-gapped, or managed service, for the data platform |
| Compliance | SOC 2 Type II, HIPAA with BAAs, PCI DSS | ISO 27001 listed on Team and Custom plans; SOC 2 and HIPAA not documented |
| Train your own model | Yes, RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and more | Through integrations with external frameworks such as Ultralytics and Detectron2 |
| Self-hosted inference | Yes, open-source inference server for custom and foundation models | No; a self-hostable inference server for production applications is not documented |
| SDKs and APIs | Yes, Python SDK plus REST/HTTP APIs | Yes, open-source fiftyone Python library and a plugin framework |
| Pricing | Published plans; Enterprise adds volume pricing and an uptime SLA | FiftyOne open source is free; hosted Free plan (3 datasets, 10,000 samples each); Team and Custom through sales |