Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,588 Bytes
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---
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
```python
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](https://www.apache.org/licenses/LICENSE-2.0). |