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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 Arrow-v 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": "arrow-v"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:arrow-v

Related Objects of Interest:

right arrow down arrow left arrow up arrow bullseye

Obstacles project thumbnail

Object Detection

Obstacles

1

962 images1 model1

1 2 3 4 5 6 7 8 9 A B Bullseye C D Down Arrow E F G H Left Arrow

MDP-GRP22 project thumbnail

Object Detection

MDP-GRP22

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1 2 3 4 5 6 7 8 9 A B BullsEye C D E F G H S Stop

MDP project thumbnail

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A B Bullseye C D Down Arrow E Eight F Five Four G H Left Arrow Nine One Right Arrow S Seven Six

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Object Detection

MDP Project Group 9

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1 2 3 4 5 6 7 8 9 A B Bullseye C C\D Dot Down-Arrow E F G

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circle 1 2 3 4 5 6 7 8 9 A B C D E F G H S T

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shapes project thumbnail

Object Detection

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apple arrow bus car cat circle cross dog fish hat pig robot shark snake square star triangle bat crescent dig

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Object Detection

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Object Detection

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Object Detection

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