README.md

---
annotations_creators: []
language: en
size_categories:
- 1K<n<10K
task_categories:
- object-detection
task_ids: []
pretty_name: ThermalPersonDetector
tags:
- fiftyone
- image
- object-detection
dataset_summary: >




  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 8778
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = fouh.load_from_hub("Voxel51/Thermal-Person-Detector")


  # Launch the App

  session = fo.launch_app(dataset)

  ```
license: cc-by-4.0
---

# Dataset Card for ThermalPersonDetector

A thermal image dataset for detecting people in a scene. The dataset contains only one class `person`





This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 8778 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("dgural/Thermal-Person-Detector")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details

### Dataset Description

Here are a few use cases for this project:

Sports Analytics: The "PersonDetection" model could be used to analyze individual athletes' performances in various sports such as skateboarding, basketball, or soccer, by detecting and tracking the movements of players.

Surveillance Security: It could be utilized in CCTV systems and security cameras. By recognizing people in real-time, it could alert security personnel when unauthorized individuals are detected in restricted areas.

Social Distancing Detection: In light of the Covid-19 pandemic, this model could be used to enforce social distancing measures by tracking the number of people and their relative distances in public spaces like parks, malls, or transportation systems.

Smart Home Management: It can be deployed in smart homes devices to recognize the home occupants and subsequently adapt the environment to their preferences such as lighting, temperature or even play their favorite music upon entry.

Motion Capture and Gaming: In the gaming and animation industry, this model could be used for real-time motion capture, allowing developers to create more realistic and immersive human characters.


- **Language(s) (NLP):** en
- **License:** CC 4.0






## Dataset Structure

One ground_truth field with a person class


[More Information Needed]

### Source Data

[Roboflow Univers](https://universe.roboflow.com/smart2/persondection-61bc2)


#### Who are the source data producers?

[SMART2](https://universe.roboflow.com/smart2)

[More Information Needed]

#### Who are the annotators?

SMART2

**BibTeX:**

```bibtex
@misc{
persondection-61bc2_dataset,
title = { PersonDection Dataset },
type = { Open Source Dataset },
author = { SMART2 },
howpublished = { \url{ https://universe.roboflow.com/smart2/persondection-61bc2 } },
url = { https://universe.roboflow.com/smart2/persondection-61bc2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-07-19 },
}
```