region-2 Computer Vision Model
How to use the region-2 Detection API
Try This Model
Drop an image here or click to upload
Code Snippets
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="region-2/1")Or, Use Free Door, Window and Logo Detection API
Powered by general detection model
pip install inference-sdk# 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, Window, Logo, Person, 65"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
About region-2 Model
Here are a few use cases for this project:
-
Construction Safety Monitoring: Using the "region-2" model to monitor construction sites in real time, ensuring that workers are adhering to safety guidelines, detecting areas with potentially hazardous conditions (e.g., Pakka and Kaccha walls), and identifying access points like doors and windows for emergency response purposes.
-
Building Inspection and Damage Assessment: Implementing the "region-2" model in surveillance systems for inspection of buildings and structures, assessing damage to roofs and walls (i.e., Pakka and Kaccha types), and detecting possible points of vulnerability like windows and doors that may need reinforcement or repair.
-
Architectural Image Analysis: Employing the "region-2" model to help architects, designers, and urban planners analyze images of different building types, materials (e.g., Pakka and Kaccha constructions), and design elements (e.g., windows, doors, logos), aiding in the development of more sustainable and adaptable infrastructure.
-
Marketing and Brand Recognition: Utilizing the "region-2" model to automatically recognize and track logos in images for marketing analytics, allowing businesses to better understand the effectiveness and reach of their branding efforts, and measure the visibility of logos in public spaces.
-
Cultural and Anthropological Research: Applying the "region-2" model to study the architectural characteristics and living conditions of various communities by identifying distinctive features in images (e.g., Pakka and Kaccha walls and roofs), helping researchers gain insights into how different cultures organize and inhabit their living spaces.
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ region-2_dataset,
title = { region-2 Dataset },
type = { Open Source Dataset },
author = { region2North },
howpublished = { \url{ https://universe.roboflow.com/region2north/region-2 } },
url = { https://universe.roboflow.com/region2north/region-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2026-07-29 },
}