dataset_wildreceipt

dataset_wildreceipt

About

1.1.0
MIT

Load Wildreceipt dataset

Task: Object detection
Wildreceipt
Dataset
Data Loader

Load the Wildreceipt dataset format. This plugin converts a Wildreceipt dataset format to Ikomia format.

The Wildereceipt format is specifically designed for receipt OCR (Optical Character Recognition) tasks.

🚀 Use with Ikomia API

1. Install Ikomia API

We strongly recommend using a virtual environment. If you're not sure where to start, we offer a tutorial here.

pip install ikomia

2. Create your workflow

[Change the sample image URL to fit algorithm purpose]

from ikomia.dataprocess.workflow import Workflow

# Initialize the workflow
wf = Workflow()

# Add the dataset loader to load your custom data and annotations
algo = wf.add_task(name="dataset_wildreceipt", auto_connect=True)

algo.set_parameters({"dataset_folder":"path/to/dataset/folder"})

# Add the training algorithm
train = wf.add_task(name= "train_mmlab_text_recognition", auto_connect=True)
# Launch your training on your data
wf.run()

☀️ Use with Ikomia Studio

Ikomia Studio offers a friendly UI with the same features as the API.

  • If you haven't started using Ikomia Studio yet, download and install it from this page.

  • For additional guidance on getting started with Ikomia Studio, check out this blog post.

Advanced usage

Check out the dataset loader guide for more information.

Developer

  • Ikomia
    Ikomia

License

A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.

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