imagedetectionyolo_mapper
February 4, 2026 · View on GitHub
Perform object detection using YOLO on images and return bounding boxes and class labels.
This operator uses a YOLO model to detect objects in images. It processes each image in the sample, returning the bounding boxes and class labels for detected objects. The operator sets the bbox_tag and class_label_tag fields in the sample's metadata. If no image is present or no objects are detected, it sets bbox_tag to an empty array and class_label_tag to -1. The operator uses a confidence score threshold and IoU (Intersection over Union) score threshold to filter detections.
使用 YOLO 对图像进行目标检测并返回边界框和类别标签。
该算子使用 YOLO 模型检测图像中的目标。它处理样本中的每张图像，返回检测到的目标的边界框和类别标签。该算子在样本的元数据中设置 bbox_tag 和 class_label_tag 字段。如果没有图像或没有检测到目标，它将 bbox_tag 设置为空数组并将 class_label_tag 设置为 -1。该算子使用置信度分数阈值和 IoU（交并比）分数阈值来过滤检测结果。
Type 算子类型: mapper
Tags 标签: gpu, image
🔧 Parameter Configuration 参数配置
| name 参数名 | type 类型 | default 默认值 | desc 说明 |
|---|---|---|---|
imgsz | 640 | resolution for image resizing | |
conf | 0.05 | confidence score threshold | |
iou | 0.5 | IoU (Intersection over Union) score threshold | |
model_path | 'yolo11n.pt' | the path to the YOLO model. | |
args | '' | ||
kwargs | '' |