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Project Type
Object Detection
Classification
Instance Segmentation
+3

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RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4


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Custom

Try Speed-beaker 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": "speed-beaker"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:speed-beaker

lane detection project thumbnail
Object Detection

lane detection

by indrajit

72 images·1 model·10
buscarcatcycledogpersontractortrucklanemotor cyclepedastrail-crossingspeed-beakertrafffic-light
a project thumbnail
Object Detection

a

by Nam

9.99k images
1-1-1-1-1-1-1-1--lay number1-1-1-1-1 Name of Procuring Agency1-1-1-1-Author1-1-1-1-Lowest Evaluated Bidder1-1-1-1-Name1-1-1-1-SL No-1-1-1-1-Sequence1-1-1-1-Stage 4 Post-reading1-1-1-1-Temperature Celclus1-1-1-1-What is 'strange'?1-1-1-1-accompany1-1-1-2-CONNEMARA PONY REGISTER1-1-2-1-Name of Bidder1-2-1-1-Color Intenslty1-2-1-1-Doing1-2-1-1-Ernest Hemingway, American, 1899- 19611-2-1-1-Ex Showroom Price1-2-1-1-Fuse amp rating1-2-1-1-Initial mass (g)
Showing 1 - 2 of 2
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