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Project Type

Object Detection

Classification

Instance Segmentation

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

Classes

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Try Back-anod 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": "back-anod"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:back-anod

Object Detection

detect_pza

by urjc

492 images1

back-anod back-laser back-meca carrier-anod carrier-laser carrier-meca mask-meca

Showing 1 - 1 of 1