Amazon Rekognition vs Roboflow
On the evidence we track, Amazon Rekognition leads this comparison with a composite score of 75/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for computer vision apis. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon Rekognition
LeaderManaged cloud service that uses machine learning to analyze images and videos, detecting objects, faces, text, and inappropriate content. Enables custom model training without requiring infrastructure management.
Roboflow
Roboflow provides tools to transform images, videos, and streams into actionable intelligence. It supports model training on custom datasets, cloud-based and edge deployment across devices like NVIDIA Jetson and Raspberry Pi, with features including automated workflows, inference optimization, and active learning capabilities.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon Rekognition
LeaderUsage-based pricing varies by API type: video processing at $0.00817/minute, custom training billed hourly or per-minute. Free tier includes monthly allowances (1,000 images or 60 minutes video per month for respective service periods).
Roboflow
Free tier with 10 credits/month; Core from $39/month with 20 credits/month; Enterprise with custom pricing
- Free TierFree
- Model Inference (50+ supported models)
- Model Training (dozens of architectures)
- Roboflow Agent
- On-Device Deploy
- Workflows
- +3 more
- CoreFrom $39/month with 20 credits; additional credit packs available at $3.10–$3.90 per credit
- Model Inference (50+ supported models)
- Model Training (dozens of architectures)
- Roboflow Agent
- On-Device Deploy
- Workflows
- +4 more
- EnterpriseContact sales
- All Core features
- Priority Access to Faster GPUs
- Volume Pricing
- Enterprise Uptime SLA
- Self-Hosted Model Weights Commercial Licensing
- +13 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Amazon Rekognition
LeaderNot documented yet.
Roboflow
- Amazon SageMaker
- Google Colab
- Amazon Rekognition
- Google Cloud Vision AutoML
- Azure Custom Vision
- CreateML
- YOLOv8
- YOLOv5
- NVIDIA Jetson
- Luxonis OAK
- Ultralytics
- Transformers
- MMDetection
- Supervision
- Docker
- Kubernetes
- S3
- CVAT
- LabelBox
- LabelImg
- ScaleAI
- SuperAnnotate
- Google Cloud Run
- Google Cloud Vision
- +7 more
Amazon Rekognition or Roboflow: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.