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file_name
stringclasses
5 values
quality
stringclasses
3 values
occlusion_percentage
stringclasses
2 values
color
stringclasses
1 value
pattern
stringclasses
3 values
orientation
stringclasses
2 values
fabric_material
stringclasses
2 values
brand_logo_visible
stringclasses
2 values
wrinkle_level
stringclasses
2 values
lighting_condition
stringclasses
2 values
background_clarity
stringclasses
3 values
9904710ce229884b9e56ba7d97c880f1.jpg
1126*1938
0%
gray
no obvious pattern
front
cotton
yes
slightly wrinkled
bright
clear
9c93721fa3bd6b3a0fb370db702687ef.jpg
1224*1632
0%
gray
none
front
possibly cotton
yes
slight wrinkles
natural light
clear
bb2b34622a11b146a20c4e18f6572a00.jpg
1632*1224
low
gray
no obvious pattern
side
cotton
no
slight wrinkles
natural light
blurry
c5a9908c72e7ac9f61e2f0351bc6dc90.jpg
1224*1632
0%
gray
no obvious pattern
side
cotton
yes
slight wrinkles
natural light
blurred
f3383822c82b250b04df404628ee6d38.jpg
1224*1632
low
gray
no pattern
front
cotton
no
slight wrinkles
natural light
blurry

Athletic Pants Occlusion Image Dataset

The retail e-commerce industry faces challenges related to product visibility, particularly with items like athletic pants that may be occluded by other objects. Current datasets often lack comprehensive representation of occlusions, leading to errors in automated systems. This dataset aims to address these issues by providing a rich collection of images featuring various occlusions, specifically focusing on scenarios like blurred pant hems and backpacks covering designs. The dataset was created by capturing images in controlled environments using high-resolution cameras, ensuring a diverse range of occlusion scenarios. Quality control measures included multi-round annotations and expert reviews to maintain high accuracy and consistency. Data is stored in JPG format, organized by categories of occlusion types.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
occlusion_percentage float The proportion of track pants covered by other objects.
color string The main color of the track pants.
pattern string Whether there are patterns on the track pants, such as stripes, checks, etc.
orientation string The orientation of the track pants in the image, such as front, back, side.
fabric_material string The fabric material of the track pants, such as cotton, polyester.
brand_logo_visible boolean Whether the brand logo is visible in the image
wrinkle_level string The degree of wrinkles on the surface of the sweatpants, such as no wrinkles, slight wrinkles, severe wrinkles
lighting_condition string The lighting conditions when the image was taken, such as natural light, bright, dim
background_clarity string The clarity of the image background, such as clear, blurry

Compliance Statement

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

Source & Contact

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

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