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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:
beam_0beam_1cable_trayceiling_0ceiling_1

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Try Door_2 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": "door_2"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Door_2 Datasets and Models

The datasets below can be used to train fine-tuned models for door_2 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
beam_0beam_1cable_trayceiling_0ceiling_1
doorswindowsentries project thumbnail
Object Detection

doorswindowsentries

by NARSS

250 images
DoorCap_1Door_2-2Window_1-2
6F_hallway project thumbnail
Instance Segmentation

6F_hallway

by NTUCE

116 images
beam_0beam_1beam_2beam_3beam_4beam_5cable_trayceilingceiling_0ceiling_1column_0curtain_wall_mullion_0curtain_wall_mullion_1door_0door_1door_2door_3door_4door_5door_6
6F_elevator project thumbnail
Instance Segmentation

6F_elevator

by NTUCE

160 images
beam_0beam_1cable_trayceiling_0ceiling_1ceilling_0column_0curtain_wall_mullion_0curtain_wall_mullion_1door_0door_1door_2door_3door_4door_5door_6door_7door_8door_9floor_0
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