Use when uploading images or videos, labeling, organizing datasets, creating Roboflow projects (detection/segmentation/keypoint/classification), tags, splits, versions, or RoboQL search.
Interactive image/video previews, deployment option comparison (serverless, dedicated, self-hosted, batch), Workflow publishing, device management and Vision Events. For raw API URL patterns, auth, and request/response formats, see roboflow-api-reference.
Use when uploading images or videos, labeling, organizing datasets, creating Roboflow projects (detection/segmentation/keypoint/classification), tags, splits, versions, or RoboQL search.
Interactive image/video previews, deployment option comparison (serverless, dedicated, self-hosted, batch), Workflow publishing, device management and Vision Events. For raw API URL patterns, auth, and request/response formats, see roboflow-api-reference.
Build or improve a Roboflow Workflow using eval-driven search. Prefer this for open-ended business problems where the approach is unclear, or when comparing alternatives. A business goal plus images or video is enough to start; no existing Workflow or Eval is…
Use when training Roboflow models, diagnosing why a model underperforms, improving accuracy, or setting up a production feedback loop — covers architecture selection, model IDs, checkpoints, Model Evaluation (confusion matrix, per-class metrics, MCP eval…
Use when a user wants a model that detects, segments, or classifies something without training first. Covers choosing the model, trying it, and putting it on a project's live endpoint (Project Deployment).
Use when answering questions about Roboflow plans, credit usage, or cost estimation; fetches current official pricing and credit rates and fills a fixed response template.
Use when explaining where Roboflow features live in the app.roboflow.com web app, mapping intents like upload, annotate, train, deploy to specific page URLs.
Protocol-level facts for Roboflow REST and Inference APIs — URL patterns, auth, parameters, error codes, and SDK quick-start. For deployment strategy and Workflow execution patterns, see roboflow-inference.
Use when running a Roboflow Workflow over many images or videos with batch processing — Asset Library jobs (the platform stages workspace images for you) or staged jobs (you stage external local/cloud files with the inference-cli), plus monitoring jobs,…
Use when connecting cloud storage (AWS S3 / S3-compatible or Google Cloud Storage) to Roboflow to mirror images into a workspace — creating storage credentials, defining datasources (bucket-mirror configs), selecting objects with glob rules, validating…
Use when uploading locally trained model weights (YOLO, RF-DETR, YOLO-NAS, PaliGemma, Florence-2) to Roboflow — the client-side Python SDK upload flow, safe API key handling, per-family packaging requirements, and verifying the upload.
Use when searching for or using public datasets/models on Roboflow Universe (universe.roboflow.com), the open repository of 1M+ computer vision datasets and 50K+ pre-trained models.
Use when running a Roboflow Workflow over many images or videos with batch processing — Asset Library jobs (the platform stages workspace images for you) or staged jobs (you stage external local/cloud files with the inference-cli), plus monitoring jobs,…
Draw computer vision annotations, labels, and predictions over images and videos using supervision-js in JavaScript/TypeScript or Supervision in Python.