Universe

Brown Images Computer Vision Model

byAlienor DuronTask:
Object Detection
License:CC BY 4.030 views2 downloads

How to use the Brown Images Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

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="brown-images/25")
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Code
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": "circle, triangle"
  },
  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

Detecting classes:
Or try a test image 
See all 4.5k imagesBrown Images 3 sample showing circleBrown Images 3 sampleBrown Images 3 sampleBrown Images 3 sampleBrown Images 3 sample showing triangleBrown Images 3 sample showing triangleBrown Images 3 sample showing circleBrown Images 3 sample showing triangleBrown Images 3 sampleBrown Images 3 sampleBrown Images 3 sample showing circleBrown Images 3 sample showing circle

About Brown Images Model

Here are a few use cases for this project:

  1. Graphic Design Assistance: This model could aid graphic designers in identifying images containing specific shapes that align with their design aesthetics or themes. It would be particularly useful when designers are working on projects requiring specific shapes in a brown or black palette, providing relevant images with a quick search.

  2. Educational Applications: The model could be employed in an educational setting to assist students learning about shapes. Teachers could utilize it to source a variety of real-world examples depicting circles and triangles within specific color confines, helping students visualize and better understand these concepts.

  3. Content Filtering: Digital platforms or content creators could use the model to filter and classify their content, particularly useful for websites or online galleries that showcase geometric art or images in specific color themes.

  4. Augmented Reality Games: Game developers can use the model to develop AR games that require players to identify or interact with specific shapes like circles and triangles within the game environment.

  5. Accessibility Services: The model can help develop solutions or tools for visually impaired users, helping them recognize different shapes in images. This could be integrated into software that describes images verbally to users.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ brown-images_dataset,
  title = { Brown Images Dataset },
  type = { Open Source Dataset },
  author = { Alienor Duron },
  howpublished = { \url{ https://universe.roboflow.com/alienor-duron/brown-images } },
  url = { https://universe.roboflow.com/alienor-duron/brown-images },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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