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--- |
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language: |
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- en |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-to-image |
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- object-detection |
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tags: |
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- code |
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- medical |
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dataset_info: |
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- config_name: video_01 |
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features: |
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- name: id |
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dtype: int32 |
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- name: name |
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dtype: string |
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- name: image |
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dtype: image |
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- name: mask |
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dtype: image |
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- name: shapes |
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sequence: |
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- name: track_id |
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dtype: uint32 |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': nurse |
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'1': doctor |
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'2': other_people |
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- name: type |
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dtype: string |
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- name: points |
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sequence: |
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sequence: float32 |
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- name: rotation |
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dtype: float32 |
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- name: occluded |
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dtype: uint8 |
|
- name: attributes |
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sequence: |
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- name: name |
|
dtype: string |
|
- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 27856 |
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num_examples: 64 |
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download_size: 23409734 |
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dataset_size: 27856 |
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- config_name: video_02 |
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features: |
|
- name: id |
|
dtype: int32 |
|
- name: name |
|
dtype: string |
|
- name: image |
|
dtype: image |
|
- name: mask |
|
dtype: image |
|
- name: shapes |
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sequence: |
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- name: track_id |
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dtype: uint32 |
|
- name: label |
|
dtype: |
|
class_label: |
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names: |
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'0': nurse |
|
'1': doctor |
|
'2': other_people |
|
- name: type |
|
dtype: string |
|
- name: points |
|
sequence: |
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sequence: float32 |
|
- name: rotation |
|
dtype: float32 |
|
- name: occluded |
|
dtype: uint8 |
|
- name: attributes |
|
sequence: |
|
- name: name |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
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num_bytes: 37214 |
|
num_examples: 73 |
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download_size: 28155019 |
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dataset_size: 37214 |
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--- |
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# Medical Staff People Tracking - Object Detection dataset |
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The dataset contains a collection of frames extracted from videos captured within a **hospital environment**. The **bounding boxes** are drawn around the **doctors, nurses, and other people** who appear in the video footage. |
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** to buy the dataset |
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The dataset can be used for **computer vision in healthcare settings** and *the development of systems that monitor medical staff activities, patient flow, analyze wait times, and assess the efficiency of hospital processes*. |
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# Dataset structure |
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The dataset consists of 2 folders with frames from the video from a hospital. |
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Each folder includes: |
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- **images**: folder with original frames from the video, |
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- **boxes**: visualized data labeling for the images in the previous folder, |
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- **.csv file**: file with id and path of each frame in the "images" folder, |
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- **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames |
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** to discuss your requirements, learn about the price and buy the dataset |
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# Data Format |
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Each frame from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for people tracking. For each point, the x and y coordinates are provided. |
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### Classes: |
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- **doctor** - doctor in the frame |
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- **nurse** - nurse in the frame |
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- **others** - other people (not medical staff) |
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# Example of the XML-file |
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.png?generation=1695995011699193&alt=media) |
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# Object tracking might be made in accordance with your requirements. |
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# **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** |
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*keywords: human detection dataset, object detection dataset, people tracking dataset, tracking human object interactions, human Identification tracking dataset, people detection annotations, human trafficking dataset, deep learning object tracking, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset, image dataset, classification, object detection, medical data, doctors, nurses* |
