Roboflow
Free tierEnd-to-end computer vision platform for developers and enterprises
Free tier available·All audiences·Powered by Multiple (foundation models + fine-tuned custom models)·API available·Open source
Key strengths
End-to-end CV pipeline: annotate, train, deploy in one platformOpen-source inference server with edge and cloud deploymentMassive Universe dataset library with pre-trained modelsAI-assisted annotation for fast, high-quality labelingTrusted by Fortune 100 and 16,000+ organizations
Free tier + paid plans
Des Moines, USA
Founded 2019
Self-hostable
No ratings yet
Developer Quickstart
Install & Run Inference Server
pip install inference && inference server start
Run Inference via Python SDK
from inference_sdk import InferenceHTTPClient
client = InferenceHTTPClient(
api_url="http://localhost:9001",
api_key="YOUR_API_KEY"
)
with client.use_model(model_id="soccer-players-5fuqs/1"):
predictions = client.infer("https://media.roboflow.com/inference/soccer.mp4")
Key Concepts
- Workflows: Low-code pipeline builder for chaining models, logic, and integrations
- Train: Hosted GPU training with support for fine-tuning foundation models (DINOv2, SAM2, etc.)
- Deploy: Cloud API, VPC, edge devices (NVIDIA Jetson, Raspberry Pi, Luxonis), or on-premise
- Universe: Open dataset hub with pre-trained models ready for inference or fine-tuning
- Supervision: OSS Python library for annotation rendering, object tracking, and post-processing
Key Integrations
Connects with AWS S3, GCP, Azure, Supabase, CVAT, LabelMe, Ultralytics, TensorFlow, PyTorch, Hugging Face, ROS, Kubernetes, NVIDIA, Amazon SageMaker, and dozens of camera/hardware vendors.