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

Related Objects of Interest:

arch-category_analytics arch-category_application-integration arch-category_blockchain arch-category_business-applications arch-category_cloud-financial-management

Images

100+

300+

500+

1k+

2k+

3k+

5k+

10k+

Custom

Downloads

10+

100+

1k+

Custom

Views

100+

1k+

2k+

10k+

Custom

Stars

10+

100+

Custom

Try Fabric-quality-control 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": "fabric-quality-control"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)