Datasetpublic

Mobiusi/Mountain-Shoe-Occlusion-Image-Dataset

Mountain Shoe Occlusion Image Dataset The retail e-commerce sector is facing significant challenges due to the increasing complexity of product recognition in images affected by various occlusions, such as mud cover, grass camouflage, and motion blur. Existing solutions often struggle with accuracy and robustness, particularly under these challenging conditions. This dataset aims to address these specific technical issues by providing a rich source of images that depict mountain… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Mountain-Shoe-Occlusion-Image-Dataset.

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

0likes22downloads

Dataset Card

Mountain Shoe Occlusion Image Dataset

The retail e-commerce sector is facing significant challenges due to the increasing complexity of product recognition in images affected by various occlusions, such as mud cover, grass camouflage, and motion blur. Existing solutions often struggle with accuracy and robustness, particularly under these challenging conditions. This dataset aims to address these specific technical issues by providing a rich source of images that depict mountain shoes under various occlusion scenarios, which are crucial for training more effective recognition models. The dataset has been compiled using high-resolution photography techniques in diverse outdoor environments, ensuring a variety of occlusion types. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews, ensuring high-quality labeled data. The data is stored in JPG format, organized in a structured manner for easy access and use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
shoe_type	string	Identify the type of hiking shoes appearing in the image, such as low-cut, mid-cut, high-cut.
shoe_color	string	Identify the color of the hiking shoes in the image.
shoe_brand	string	Identify the brand of the hiking shoes in the image, if the trademark is visible.
obstruction_level	string	Identify the degree to which the hiking shoe in the image is obstructed, such as: no obstruction, partially obstructed, completely obstructed.
background_scene	string	Identify the background scene in which the hiking shoe is photographed, such as: outdoor mountainous area, indoor environment.
image_quality	string	The quality grade of the image, such as: high definition, blurry, low definition.
lighting_condition	string	Lighting conditions in the image, such as: bright, dim, backlit.
image_orientation	string	Identify the rotation direction of the image, such as: upright, 90 degrees left, 90 degrees right, inverted.

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