Ultralytics

Detect Objects by Visual Prompt (Ultralytics YOLOE)

Embeds example regions from the bound reference at refer_boxes into a YOLOE visual prompt, then finds matching objects in each target Image. The consumer picks one arm: boxes, rectangles, classes, masks with class, bare masks, count, or annotated frame.

Estimate Pose (Ultralytics YOLO)

Human-pose estimator (Ultralytics YOLO-pose) over each Image, emitting a deploy-time-resolved shape: flat [Landmark] keypoints, per-person [[Landmark]], per-person [([Landmark], BoundingBox)], or [Skeleton] with COCO-17 bone topology.

Detect Objects by Text Prompt (Ultralytics YOLO World)

Embeds a list of free-text class names once at startup with YOLO-World's text encoder, then detects only those categories in each Image and projects the detections onto the connected output shape: boxes, geometry, classes, box+class tuples, a count, or an overlay.

Detect Oriented Objects (Ultralytics YOLO)

Runs a bound Ultralytics YOLO-OBB checkpoint over each Image with rotated NMS. Projects the per-frame rotated boxes as [OrientedBoundingBox] (default), [Rectangle], [DetectedClass], a UInt64 count, or the annotated Image.

Segment Image (Ultralytics YOLO)

Real-time instance segmentation on an Image with an Ultralytics YOLO weights file. The sink resolves the projection: mask-plus-box pairs, masks, boxes, parallel arrays, a merged Mask, a UInt64 count, or a colourised label Image.

Detect Faces (Ultralytics YOLO)

YOLO face detector loaded from a mounted Ultralytics checkpoint (the model weights slot): takes an Image and emits boxes, boxes paired with landmarks, landmark lists, or parallel box/landmark arrays depending on the downstream connection. Use to find faces.

Detect Objects (Ultralytics YOLO)

Runs a bound Ultralytics YOLO checkpoint over each Image with NMS and projects the detections onto the connected output shape: boxes, geometry, classes, masks, a count, or an overlay. The mask shapes need YOLO-seg weights.

Classify Image (Ultralytics YOLO)

Classifies an Image with a local Ultralytics YOLO checkpoint; the ranked result projects onto the connected arm: Classification, [Classification], String, [DetectedClass], UInt64, or [Double].

Track Objects (Ultralytics YOLO)

Combined Ultralytics YOLO detector and tracker. Accepts an Image per tick, runs detection with persistent tracker memory, and emits [(BoundingBox, UInt64)] stable-id pairs for all matched objects.

Segment Image (Ultralytics YOLOE)

Open-vocabulary instance segmentation over a single Image. Masks instances with a YOLOE checkpoint, optionally steered by prompt_classes, then projects the result onto whatever the downstream connection requests, e.g. [(Segmentation, BoundingBox)].