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Train

Train highly accurate models tuned to your data

Simplify model development with hosted training and deploy state-of-the-art vision models

Train the best model for your data

Automatically search for the optimal model architecture and fine tune your model with Neural Architecture Search

  • Find the right mix of performance. Evaluate thousands of architectures in a single training run and get dozens of deployment-ready models tailored to your exact data.

  • Higher accuracy and lower latency. Models trained with neural architecture search generally achieve higher mAP and faster performance compared to models trained on a single architecture.

Real-time detection for real-world challenges

Train the most accurate real-time models with RF-DETR, available under Apache 2.0 licensing.

  • Top accuracy with real-time speed. Train custom object detection and segmentation models that deliver industry-leading accuracy without compromising speed.

  • Deploy at the edge or cloud. Flexible model sizes allow you to optimize performance for your environment, from edge devices to the cloud.

Training Infrastructure for Every Task and Environment

Train state of the art models, tuned to your data, and deploy immediately.

  • Detect

    • RF-DETR
    • YOLO
    • Roboflow 3.0
    • YOLOlite
    • PaliGemma
    • Roboflow Instant
  • Segment

    • RF-DETR
    • SAM
    • YOLO
    • Roboflow 3.0
    • Roboflow 2.0
  • Classify

    • Roboflow 3.0
    • DINOv3
    • ViT
    • ResNet
  • Pose

    • RF-DETR
    • YOLO
    • Roboflow 3.0
  • Describe

    • Qwen
    • Florence
    • PaliGemma
    • SmolVLM
Continuous Improvement

Improve your model over time

Active Learning collects production data from deployed models to continuously improve performance.

Model Understanding and Evaluation

Insights into how your vision models are performing to locate edge cases, anomalies, and areas of low performance.

Correct predictions, misclassifications, false negatives, and false positives for every class, at any threshold.

Gain visibility into exactly where your model failed and use that data to improve the next version of your model

Use semantic embeddings to find patterns in model failures and what type of data your models needs to better handle edge cases

BNSF logo.
“Roboflow is helping us immediately realize value from state-of-the-art computer vision technology.”

Asim Ghanchi

AVP of Technology, BNSF

Get started

Build on the Platform

For developers, engineers, and technical founders who want to get hands on. Try the free tier; the docs are open.

Bring it into your operation

For heads of AI, operations leaders, and enterprise teams. Bring a known problem, or work with us to find the first one worth taking on.