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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:
chairtablecarfloorroad

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Custom

Try Cieling 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": "cieling"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Cieling Datasets and Models

The datasets below can be used to train fine-tuned models for cieling detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
chairtablecarfloorroad
My First Project project thumbnail
Object Detection

My First Project

by Object Detection

102 images
bottlecarchaircloudcupdining tablefanfloorkeyboardlaptopmousepalmpillowpoleroadtableteddy beartreewallwindow
All_Projects project thumbnail
Object Detection

All_Projects

by myroboflow1

7.07k images
bicycleboxcarcatchairclothesfencegarbagegateguitarhelmetmotorcyclepersonplantplasticroadsnakestairtablewindow
Random_Objects_Polygon project thumbnail
Object Detection

Random_Objects_Polygon

by myroboflow1

859 images
boxcatchairgarbagehelmetmotorcycleplantplasticstairtablebasinbeer_casebucket_coverbucket_plasticcanistercielingcolumn1container1container_groupconveyor
ECEN_Driving project thumbnail
Instance Segmentation

ECEN_Driving

by Robotic Vision

131 images·1
Back-WallCielingFloorNoodleWall
Showing 1 - 4 of 4
1
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