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Project Type
Object Detection
Classification
Instance Segmentation
+3

Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4

Related Objects of Interest:
paramonitor_offventilatorventilator_offbp_measuredface

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Try Paramonitor Detection API

Run on custom image

Drop or click to upload

# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "paramonitor"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Paramonitor Datasets and Models

The datasets below can be used to train fine-tuned models for paramonitor detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
paramonitor_offventilatorventilator_offbp_measuredface
Object_detection project thumbnail
Instance Segmentation

Object_detection

by Annotation

243 images
paramonitorparamonitor_offventilatorventilator_off
full project thumbnail
Object Detection

full

by annotation

2.72k images
facemask057BP_measuredHand_SanitizedLabcoat_detectedNo_oxygen_maskOxygen_connectedPersonhead_coverno_head_coverno_maskno_shoe_coverparamonitorparamonitor_offshoe_coverventilatorventilator_off
combined_final project thumbnail
Instance Segmentation

combined_final

by Annotation

1.49k images
facepersonBP_measuredHand_SanitizedLabcoat_detectedNo_oxygen_maskOxygen_connectedparamonitorparamonitor_offventilatorventilator_off
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