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Object Detection
Classification
Instance Segmentation
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RF-DETR
YOLO26
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YOLO-NAS
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Custom

Try Dip-detection 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": "dip-detection"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:dip-detection

Traffic-sign_detection project thumbnail
Object Detection

Traffic-sign_detection

by Harshits Workspace

1.01k images
no entryslippery roadCattle crossingCompulsory Sound HornEating placeFalling RocksHorn prohibitedHospital AheadKeep LeftMen at workNarrow bridge aheadNarrow road aheadNo OvertakingNo ParkingNo stoppingPedestrian crossingPetrol pumpRailway crossingRight TurnRoundabout Ahead
DIP Detection project thumbnail
Object Detection

DIP Detection

by Eduardos Workspace

201 images
DIP-DetectionDIP_1DIP_2NUTNUT_HOLE
Showing 1 - 2 of 2
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