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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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language:
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- zh
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- en
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size_categories:
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- n<1K
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---
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## 文本检测测试集
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### 数据集简介
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- 该测试集包括卡证类、文档类和自然场景三大类。其中卡证类有82张，文档类有75张，自然场景类有55张。
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- 该数据集可以结合[文本检测指标评测库-TextDetMetric](https://github.com/SWHL/TextDetMetric)使用，快速评测各种文本检测算法。
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- **关于该数据集，欢迎小伙伴贡献更多数据呦！有任何想法，可以前往[issue](https://github.com/SWHL/TextDetMetric/issues)讨论。**
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### 数据集支持的任务
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可用于自定义数据集下的模型验证和性能评估等。
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### 数据集的格式和结构
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#### 数据格式
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数据集只有测试集，目录结构示例如下，小伙伴可自行决定如何使用。
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<details>
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```text
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text_det_test_dataset
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├── card_images
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├── doc_images
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└── natural_images
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├── TB1.hytcMn.PuJjSZFkXXc_lpXa_!!0-item_pic.jpg.jpg
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└── TB1.hytcMn.PuJjSZFkXXc_lpXa_!!0-item_pic.jpg.json
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```
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</details>
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#### 数据集加载方式
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```python
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from datasets import load_dataset
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dataset = load_dataset("SWHL/text_det_test_dataset")
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```
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### 数据集生成的相关信息
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#### 原始数据
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数据来源于网络，如侵删。
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#### 数据集标注
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- 数据集使用[**labelme**](https://github.com/wkentaro/labelme)标注，下载该数据之后，可直接用[**labelme**](https://github.com/wkentaro/labelme)打开，可视化查看。
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- 数据集标注为`json`格式，示例如下：
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<details>
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```json
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{
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"version": "4.5.6",
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"flags": {},
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"shapes": [
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{
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"label": "",
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"points": [
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[
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486.0,
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751.0
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],
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[
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588.0,
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751.0
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],
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[
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588.0,
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779.0
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],
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[
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486.0,
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779.0
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]
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],
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"group_id": null,
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"shape_type": "polygon",
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"flags": {}
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},
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{
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"label": "",
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"points": [
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[
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385.1382113821138,
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686.6178861788618
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],
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[
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592.4552845528456,
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+
688.2439024390244
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],
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[
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+
589.2032520325204,
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+
739.4634146341464
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],
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[
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+
386.7642276422764,
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+
737.0243902439024
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]
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],
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"group_id": null,
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"shape_type": "polygon",
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"flags": {}
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}
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],
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"imagePath": "19.png",
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"imageData": "xxxxxx",
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"imageHeight": 784,
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"imageWidth": 613
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}
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```
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</details>
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