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Object Detection

Classification

Instance Segmentation

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RF-DETR

YOLO26

YOLOv11

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YOLO-NAS

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Try Pipe-hole 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": "pipe-hole"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:pipe-hole

Related Objects of Interest:

plastic bag plastic container person ceramic mug clothes

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GALVANIS_IDENTIFICATION HOLE FOR MATERIAL 1-WITH GALVANIS_IDENTIFICATION HOLE FOR MATERIAL 2-WITH GALVANIS_IDENTIFICATION HOLE FOR MATERIAL 3-WITH NON GALVANIS_IDENTIFICATION HOLE FOR MATERIAL 1-WITHOUT NON GALVANIS_IDENTIFICATION HOLE FOR MATERIAL 2-WITHOUT NON GALVANIS_IDENTIFICATION HOLE FOR MATERIAL 3-WITHOUT NUT FOR LAP OUTER LH-WITH STUD BOLT FOR BRAKE TUBE LH-WITH STUD BOLT FOR FUEL INLET PIPE-WITH STUD BOLT FOR FUEL PROTECTOR-WITH STUD BOLT FOR LINER OR PIPE COVER LH 1-WITH STUD BOLT FOR LINER OR PIPE COVER LH 2-WITH STUD BOLT FOR LINER OR PIPE COVER LH 3-WITH STUD BOLT FOR LINER OR PIPE COVER LH 4-WITH STUD BOLT FOR LINER OR PIPE COVER LH 5-WITH STUD BOLT FOR LINER OR PIPE COVER LH 6-WITH STUD BOLT FOR LINER OR PIPE COVER LH 7-WITH STUD BOLT FOR LINER OR PIPE COVER LH 8-WITH

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