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Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

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Try Anti-air 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": "anti-air"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:anti-air

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cafe audi capital doritos lay's

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Object Detection

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Object Detection

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Object Detection

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Object Detection

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Object Detection

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Object Detection

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Object Detection

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(sabores)*Leite em Pó Integral Sachê Italac 800g 0 0.79 00 01 01.29 01.75 02 02.09 02.29 02.49 023 03 04 04.39 04.45 05.39 09.99 1

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Object Detection

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Object Detection

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