Roboflow + Scale AI
Upload the JSON that Scale AI returns for completed annotation tasks to Roboflow, then train and deploy a model on those labels.
How to connect Scale AI to Roboflow
4 stepsCollect your completed tasks
Save the JSON responses for your completed Scale AI annotation tasks.
Create an object detection project
In Roboflow, create a new object detection project.
Upload the JSON and images
Drag the JSON and your images onto the upload page.
Generate a version and train
Generate a dataset version, then train a model such as RF-DETR.
What teams build with Scale AI
Train on outsourced labels
Turn the boxes Scale AI's annotators returned into a trained model.
Convert Scale AI JSON to a training format
Export the same labels as COCO, YOLO or Pascal VOC for other pipelines.
Questions
The JSON task responses for object detection, with a box and label per annotation. See the Scale AI JSON format page for the structure.
Yes. Upload each new batch to the same project and generate a new version before retraining.
Why are companies choosing Roboflow?
The end-to-end platform for vision AI: create datasets, train models and deploy to production.
Flexible deployment modes
Move from a scalable cloud API to edge hardware like NVIDIA Jetson without managing complex dependencies.
Integrated workflow builder
Combine multiple AI models, custom business logic and third-party integrations into one production-ready pipeline in a low-code editor.
Model monitoring and alerts
Dashboards track confidence, inference time and request volume for your deployed models, and email alerts tell your team when confidence suddenly drops.
