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---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- object-detection
tags:
- code
- medical
dataset_info:
- config_name: video_01
features:
- name: id
dtype: int32
- name: name
dtype: string
- name: image
dtype: image
- name: mask
dtype: image
- name: shapes
sequence:
- name: track_id
dtype: uint32
- name: label
dtype:
class_label:
names:
'0': nurse
'1': doctor
'2': other_people
- name: type
dtype: string
- name: points
sequence:
sequence: float32
- name: rotation
dtype: float32
- name: occluded
dtype: uint8
- name: attributes
sequence:
- name: name
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 27856
num_examples: 64
download_size: 23409734
dataset_size: 27856
- config_name: video_02
features:
- name: id
dtype: int32
- name: name
dtype: string
- name: image
dtype: image
- name: mask
dtype: image
- name: shapes
sequence:
- name: track_id
dtype: uint32
- name: label
dtype:
class_label:
names:
'0': nurse
'1': doctor
'2': other_people
- name: type
dtype: string
- name: points
sequence:
sequence: float32
- name: rotation
dtype: float32
- name: occluded
dtype: uint8
- name: attributes
sequence:
- name: name
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 37214
num_examples: 73
download_size: 28155019
dataset_size: 37214
---
# Medical Staff People Tracking - Object Detection dataset
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.
# 💴 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
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*.
# Dataset structure
The dataset consists of 2 folders with frames from the video from a hospital.
Each folder includes:
- **images**: folder with original frames from the video,
- **boxes**: visualized data labeling for the images in the previous folder,
- **.csv file**: file with id and path of each frame in the "images" folder,
- **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames
# 💴 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
# Data Format
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.
### Classes:
- **doctor** - doctor in the frame
- **nurse** - nurse in the frame
- **others** - other people (not medical staff)
# Example of the XML-file
.png?generation=1695995011699193&alt=media)
# Object tracking might be made in accordance with your requirements.
# **[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
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
*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* |