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Project Type
Object Detection
Classification
Instance Segmentation
+3

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


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Custom

Try Inspection-area 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": "inspection-area"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:inspection-area

YOLO inspection area project thumbnail
Instance Segmentation

YOLO inspection area

by yolo

79 images·2 models·1
inspection-area
OS2 project thumbnail
Object Detection

OS2

by screen

160 images
objectAbort the currently running commandAbort the ongoing compilation-Abort the running commandAccept the current operationAccess context-sensitive help for a specific toolbar iconAccess the Learning sectionActivate Audio Track 1 as the target track with a single clickActivate Audio Track 1 for editingActivate Draw Behind modeActivate Dynamic Trim ModeActivate Instant2D modeActivate Instant3D modeActivate Quick Access to search for a commandActivate Quick Mask modeActivate Quick SnapsActivate Range Selection ModeActivate Rapid SketchActivate Rapid Sketch modeActivate Rapid Sketch to start a new 2D sketch on the selected face-
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