Waterfront Computer Vision Model
About Waterfront Model
Here are a few use cases for this project:
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Urban Planning Analysis: This model could be used for urban planning applications. By identifying the number of people in different areas along the riverfront, one can gather data on population density or popular locations. This can aid in the decision-making process of urban development, such as where to construct amenities or recreational areas.
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Security Surveillance: Deploying this model in CCTV systems can prove beneficial for public safety and A.I.-powered surveillance. The model could monitor waterfront environments and potentially identify suspicious activities or overcrowding.
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Tourism Management: By understanding which places people congregate in the most, tourism boards could use this information for tours or events. It can help in managing crowd control, enhancing the tourist experience, or promoting lesser-known city attractions.
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Environmental Studies: This model could be used to correlate the number of people using a waterfront with environmental impact studies, such as littering or accelerated wear and tear on waterfront structures or ecosystems.
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Public Health and Safety: In scenarios related to public health—for instance, during a pandemic—the model could be used to monitor and ensure that social distancing is being maintained in popular waterfront areas.
Use Free ', 0 and 1 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": "', 0, 1, 10, 11"
},
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
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{ waterfront_dataset,
title = { Waterfront Dataset },
type = { Open Source Dataset },
author = { Waterfront dataset },
howpublished = { \url{ https://universe.roboflow.com/waterfront-dataset/waterfront } },
url = { https://universe.roboflow.com/waterfront-dataset/waterfront },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2026-07-29 },
}