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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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Custom

Try Led-amber 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": "led-amber"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:led-amber

fault detect project thumbnail
Object Detection

fault detect

by 123

7.08k images·12
22.5-SSD2.5-SSD-Fault33.5-HDD3.5-HDD-FaultLED-AmberLED-BlueMM.2M.2-Fault
Conjunto de testes - Transcricao project thumbnail
Object Detection

Conjunto de testes - Transcricao

by NUVEN

497 images·6
(sabores)*Leite em Pó Integral Sachê Italac 800g00.79000101.2901.750202.0902.2902.49023030404.3904.4505.3909.991
1000 products project thumbnail
Instance Segmentation

1000 products

by santhosh

19.4k images
00281 rs20110111213141913 rs.1022320 candles2320 rs.1033 roses 100_g3 roses 11g3 roses 12g3 roses 250g3549_100g3549_soda_200g4
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