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Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

Classes

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Custom

Try Pi-car 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": "pi-car"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:pi-car

Related Objects of Interest:

hang yang bang cang dang

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1

129 images12

car king ring ,-0 4 5 6 :Ba Be Bi Bra Bu Bé Ga Gi Go Gri

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0 1 2 3 4 5 6 7 8 9 emg_car pi-car

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8.18k images

4-1BBL 4E-BP1 53BP1 6PGL A1 A10 A2 A6 AA ABCB9 ABCG2 ABL ABLIM2 ABLL ABRAXAS AC ACC ACC1 ACE2 ACL

Aksara Ulu Rejang project thumbnail

Object Detection

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711 images

can car a ah an ang ar aw ay ba bah ban bang bar baw bay be bi bo bu

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Instance Segmentation

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can car a a'ah ai an ang ar au b ba bah bai ban bang bar bau be bi

NUMBER-PLATE-DETECTION-PP2 project thumbnail

Object Detection

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211 images2

bus car motorbike van 22 7193 226-1468 227-1578 227-6486 28-8095 42-3359 47-2058 48-3398 61 1966 63-4330 65-5130 65-7565 AAJ 5958 AAO 4589 BBL8731 BCP4990

TEST project thumbnail

Object Detection

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84 images

car van PC-2861 PC-6884 PD-2837 PE-4681 PF-2856 PH-9905 PI-7281 PJ-8904 undefined

Aksara Jawa Classification 2 project thumbnail

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72k images

car ba bah bang bar be_pepet be_taling bi bo bu ca cah cang ce_pepet ce_taling ci co cu da dah

FIKSDATASETBUKU project thumbnail

FIKSDATASETBUKU

by Luluks Workspace

900 images

car ba bah bang bar be_pepet be_taling bi bo bu ca cah cang ce_pepet ce_taling ci co cu da dah

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