Datasets:
Tasks:
Token Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
DOI:
License:
| license: mit | |
| task_categories: | |
| - token-classification | |
| language: | |
| - en | |
| pretty_name: NVR Entity Recognition Experiment | |
| size_categories: | |
| - n<1K | |
| # NVR Entity Recognition Experiment | |
| ## Overview | |
| This repository contains a training dataset designed for entity recognition in Network Video Recorder (NVR) applications, specifically focused on newborn safety monitoring. The dataset uses a stuffed animal as a privacy-conscious substitute for actual newborn footage, enabling the development of computer vision models that can identify critical safety scenarios in nursery environments. | |
| ## Purpose | |
| The primary goal of this dataset is to train machine learning models capable of recognizing: | |
| - **Sleeping positions**: Back sleeping (safe), side sleeping, face-down sleeping (unsafe) | |
| - **Dangerous objects**: Blankets, pacifiers, and other items that could pose smothering risks | |
| - **Safety events**: Various scenarios that require parental attention or intervention | |
| ## Dataset Structure | |
| ### Sample Images | |
| Here are some representative examples from the dataset: | |
| #### Safe Sleeping Position (Back Sleeping) | |
|  | |
| #### Unsafe Sleeping Position (Face Down) | |
|  | |
| #### Safety Event Detection (Dangerous Objects) | |
|  | |
| ### Camera Locations and Equipment | |
| The dataset includes footage from multiple camera positions commonly found in home nursery setups: | |
| - **Bedroom Bassinet**: Monitored using **Reolink E1 Pro** camera | |
| - **Living Room Buggy**: Monitored using **Tapo C210** camera | |
| - **Nursery Bassinet**: Monitored using **Tapo C200** camera | |
| ### Data Categories | |
| ``` | |
| cam-captures/ | |
| ├── bedroom-bassinet/ | |
| │ ├── back-sleeping/ # Safe sleeping position | |
| │ ├── face-down/ # Unsafe sleeping position | |
| │ └── side-sleeping/ # Potentially unsafe position | |
| ├── living-room-buggy/ | |
| │ ├── back-sleeping/ | |
| │ ├── face-down/ | |
| │ └── side-sleeping/ | |
| ├── nursery-bassinet/ | |
| │ ├── 1/ | |
| │ ├── 2/ | |
| │ └── 3/ | |
| └── events/ | |
| ├── blanket-in-bassinet/ # Dangerous object detection | |
| ├── pacifier/ # Object that could pose risks | |
| └── smothering/ # Critical safety scenarios | |
| ``` | |
| ## Camera Specifications | |
| ### Reolink E1 Pro | |
| - **Location**: Bedroom bassinet monitoring | |
| - **Features**: Pan/tilt capabilities, night vision | |
| - **Use Case**: Primary sleeping area surveillance | |
| ### Tapo C210 | |
| - **Location**: Living room buggy monitoring | |
| - **Features**: 360° rotation, motion detection | |
| - **Use Case**: Mobile sleeping area monitoring | |
| ### Tapo C200 | |
| - **Location**: Nursery bassinet monitoring | |
| - **Features**: Fixed position, infrared night vision | |
| - **Use Case**: Dedicated nursery surveillance | |
| ## Applications | |
| This dataset is intended for training models that can: | |
| 1. **Automated Safety Alerts**: Detect unsafe sleeping positions and alert caregivers | |
| 2. **Object Recognition**: Identify potentially dangerous items in sleeping areas | |
| 3. **Behavioral Analysis**: Monitor and analyze sleep patterns and safety compliance | |
| 4. **NVR Integration**: Deploy trained models directly into existing NVR systems | |
| ## Disclaimer | |
| This dataset is for research and development purposes. Any deployed safety monitoring system should be thoroughly tested and validated before use in real-world scenarios. Automated systems should supplement, not replace, direct parental supervision. | |