Object Detection Node

O

AI/ML/ONNX

Object Detection

Object Detection in Images with ONNX-Models. Download models from: TinyYOLOv2 (https://github.com/onnx/models/tree/main/validated/vision/object_detection_segmentation/tiny-yolov2), YOLO (https://github.com/onnx/models/tree/main/validated/vision/object_detection_segmentation), SSD-MobileNet (https://github.com/onnx/models/tree/main/validated/vision/object_detection_segmentation/ssd-mobilenetv1)

object_detectiononnx

Inputs6

Outputs2

Security exposure10/10

Packageonnx

Ratings

Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.

No score metadata has been set for this node yet.

Input Pins

6

Input

Execution

exec_in

Initiate Execution

Model

Struct

model

ONNX Model Session

SchemaNodeOnnxSessionNodeOnnxSessionNodeOnnxSession1 fields

session_refstringrequired

Cache ID for Session

Schema enforced

Image

Struct

image_in

Image Object

SchemaNodeImageNodeImageNodeImage1 fields

image_refstringrequired

Schema enforced

Conf

Float

conf

Confidence Threshold

Default 0.25

Range 0 to 1

IoU

Float

iou

Intersection Over Union Threshold for NMS

Default 0.7

Range 0 to 1

Max

Integer

max

Maximum Number of Detections

Default 300

Range 0 to 1000

Output Pins

2

Output

Execution

exec_out

Done with the Execution

Boxes

Struct Array

bboxes

Bounding Box Predictions

SchemaBoundingBoxBoundingBoxBoundingBox7 fields

x1number:floatrequired

format float

y1number:floatrequired

format float

x2number:floatrequired

format float

y2number:floatrequired

format float

scorenumber:floatrequired

format float

class_idxinteger:int32required

format int32

class_namestring | null

Node Info

Internal name

object_detection

Category

AI/ML/ONNX

Version

1