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Mobiusi/Home-Robot-Image-Classification-Dataset

Home Robot Image Classification Dataset With the rapid development of smart devices, home robots are playing an increasingly important role in daily life. However, existing image recognition technology still lacks accuracy in complex environments, leading to misjudgments when robots recognize obstacles and execute tasks. This dataset aims to address the image classification issues of home robots in different scenes and provides high-quality labeled data for algorithm training.… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Home-Robot-Image-Classification-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face

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Dataset Card

Home Robot Image Classification Dataset

With the rapid development of smart devices, home robots are playing an increasingly important role in daily life. However, existing image recognition technology still lacks accuracy in complex environments, leading to misjudgments when robots recognize obstacles and execute tasks. This dataset aims to address the image classification issues of home robots in different scenes and provides high-quality labeled data for algorithm training. Data collection involved real shooting in various home scenarios, using high-resolution cameras to capture images under different lighting and environmental conditions. To ensure data quality, quality control measures such as multiple rounds of labeling, consistency checks, and expert reviews were used. The final storage is in JPG format, organized in a folder structure for easy subsequent use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_count	int	The number of objects identified in the image.
mainobjecttype	string	The type of the main object in the image, such as chair, table, etc.
mainobjectcolor	string	The color of the main object in the image.
lighting_condition	string	The lighting condition during image capture, such as bright, dim, etc.
image_quality	string	The clarity and noise level of the image, such as high quality, medium quality, etc.
background_complexity	string	The complexity of the image background, such as simple, complex, etc.
object_position	string	The position of the main object in the image, such as upper left, center, etc.
image_orientation	string	The orientation of the image, such as landscape, portrait, etc.
texture_pattern	string	The texture or pattern characteristics of the main object's surface in the image.
object_distance	float	The estimated distance between the camera and the main object in the image, in meters.

Compliance Statement

<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com