Choppy Computer Vision Model

byInriaTask:
Instance Segmentation
License:CC BY 4.025 views1 download

How to use the Choppy Segmentation 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="choppy/6")
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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": "page, page_flying"
  },
  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 

About Choppy Model

Choppy

Sur roboflow, le but est d'entraîner un modèle de détection de doubles pages. Ensuite ce modèle sera utlisé pour parser des images de documents et les découper en 1, 2 ou + fichiers.

Datasets

Chargés

  • 80 images issues de numérisations de carnets de Quicherat partagés durant le hackathon de l'ADEMEC
  • 46 images issues de numérisations de catalogues de vente provenant de l'Institut national d'histoire de l'art

Prospects

Cite This Project

LicenseCC BY 4.0

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

@misc{ choppy_dataset,
  title = { Choppy Dataset },
  type = { Open Source Dataset },
  author = { Inria },
  howpublished = { \url{ https://universe.roboflow.com/inria/choppy } },
  url = { https://universe.roboflow.com/inria/choppy },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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