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Project Type
Object Detection
Classification
Instance Segmentation
+3

Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4

Related Objects of Interest:
l-defects-defecta-charactera-defectb-character

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Custom

Try L-defect 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": "l-defect"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:l-defect

Related Objects of Interest:
l-defects-defecta-charactera-defectb-character
Character Recognition project thumbnail
Instance Segmentation

Character Recognition

by PHN

250 images
0-Defect0-Number1-Defect1-Number2-Defect2-Number3-Defect3-Number4-Defect4-Number5-Defect5-Number6-Defect6-Number7-Defect7-Number8-Defect8-Number9-Defect9-Number
defect test version 2 project thumbnail
Object Detection

defect test version 2

by

192 images·2 models·2
L-DefectM-DefectS-Defect
search project thumbnail
Object Detection

search

by test

878 images·1 model·4
023478ADefectKLNSb
Detect_Shrimp_Test project thumbnail
Object Detection

Detect_Shrimp_Test

by

435 images·8 models·6
normaldefect-Ldefect-Msoft
AIVIN - Bounding Box project thumbnail
Instance Segmentation

AIVIN - Bounding Box

by PHN

223 images
0-Defect0-Number1-Defect1-Number2-Defect2-Number3-Defect3-Number4-Defect4-Number5-Defect5-Number6-Defect6-Number7-Defect7-Number8-Defect8-Number9-Defect9-Number
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