Search by Image

Drop an image

Search datasets and models
by image similarity

Project Type

Object Detection

Classification

Instance Segmentation

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

Classes

Images

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Custom

Downloads

10+

100+

1k+

Custom

Views

100+

1k+

2k+

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Custom

Stars

10+

100+

Custom

Try Pip-dot 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": "pip-dot"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:pip-dot

Object Detection

Domino Point Counter

by Robins Workspace

189 images

domino dot pip

SHIP HUD Marker Detection project thumbnail

Object Detection

SHIP HUD Marker Detection

by As Workspace

105 images

cone-out locked-box non-locked-crosshair non-locked-indicator pip-dot target-name-distance-velocity

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