metadata

license: apache-2.0
task_categories:
  - image-classification
language:
  - en
tags:
  - Document
  - Classification
  - Type-9
  - finance
size_categories:
  - 10K<n<100K

Document-Type-Detection

Dataset Summary

The Document-Type-Detection dataset is a large-scale image classification dataset consisting of scanned or photographed document images. Each image is categorized into one of nine document types. This dataset is ideal for training document classification models in finance, administration, OCR, and automation workflows.

Supported Tasks

Multiclass Document Classification Classify an input document image into one of the predefined document types.
Dataset Type: Image Classification
Task: Document Type Detection (Multiclass)
License: Apache 2.0

Each document class is stored in its corresponding folder.

Dataset Structure

Feature	Type	Description
image	Image	Document image (variable resolution)
label	Category	Integer from 0 to 8 representing class

Split:

train: Full dataset in a single training split.

Example Usage

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Document-Type-Detection")
sample = dataset["train"][0]
image = sample["image"]
label = sample["label"]

License

This dataset is distributed under the Apache 2.0 License.