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file_name
stringclasses
7 values
quality
stringclasses
6 values
facility_type
stringclasses
7 values
facility_color
stringclasses
7 values
material_type
stringclasses
6 values
age_range
stringclasses
5 values
safety_features
stringclasses
7 values
capacity
stringclasses
6 values
manufacturer
stringclasses
3 values
usage_status
stringclasses
5 values
0be50089e3e4cd658faaa26f75f52964.jpg
1080*1394
Electronic Keyboard Game Machine
Mainly white and black with colorful lights
Electronic Equipment
Suitable for teenagers and above
No obvious safety features
2 people
Unknown
Operational
1afcd960accf46cf50c51d9279c05115.jpg
1080*1395
Strength Testing Machine
Multicolor
Plastic and Metal
Teenagers and Adults
No notable safety features
1 person
Not specified
Operational
b7d64b9afb49025fd1a792e92546e435.jpg
1080*1397
Motorcycle Simulation Arcade Machine
Green and Yellow
Plastic and Metal
Teenagers and Adults
No Significant Safety Features
2 people, 1 per machine
Unknown
In Operation
bcb65345842c728022271f3dc6994b04.jpg
1080*1387
billiard table
green
wood and synthetic fibers
teenagers and adults
no special safety features
1-4 people
unknown
unused
c6b6bb3e3d75521bfc5263058eb4b58b.jpg
1080*1397
Slide
Metallic, Blue, Orange
Metal
Teenagers and above
Guardrail
Unknown
Unknown
In operation
ea5f5f023d4fabb23f0b740e9585b07c.jpg
1080*1403
Racing Arcade Machine
Mainly yellow and white
Plastic and metal
Teenagers and adults
Safety seat
1 person per machine
Unknown
In operation
f09f484bddb8493b3fe771867ac8cf39.jpg
1080*1388
amusement arcade game machine
main colors are pink and blue
plastic and metal
teenagers and adults
no obvious safety features
1 person
unknown
operational

Amusement Park Game Facility Recognition Image Dataset

In the retail e-commerce sector, as consumer demand for amusement park facilities increases, merchants face challenges in quickly identifying and managing various facilities. Existing image recognition technologies still lack in accuracy and speed, especially in scenarios with diverse facility combinations. This dataset aims to enhance the precision and efficiency of amusement park facility recognition, satisfying the business needs of online platforms for personalized recommendations and inventory management.The dataset was captured using high-resolution cameras in real amusement park environments, ensuring it includes different time periods and various lighting conditions during the collection process. It has undergone multiple rounds of expert annotation and consistency checks to ensure precise labeling, reviewed by a team with a computer vision background. The data preprocessing includes denoising, color correction, and geometric correction, and it is stored in JPG format, with a clear structure that is easy to access.The core advantage of this dataset lies in its high annotation precision and consistency, reaching over 95%, greatly enhancing model training efficacy. With innovative augmentation techniques, the model can better generalize to unseen data. In practical applications, it can effectively improve the accuracy of amusement facility recognition by more than 20%. Compared to similar datasets, it offers a richer variety of facilities and scene variability, making it particularly suitable for promotion on various e-commerce platforms. The dataset can be extended to more industry application scenarios and possesses strong versatility.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
facility_type string The specific type of amusement park facility identified, such as carousel, bumper cars, etc.
facility_color string The main color of the identified amusement park facility.
material_type string The main type of material of the amusement park facility, such as metal, plastic, etc.
age_range string The age range suitable for users of the facility, such as children, teenagers, etc.
safety_features string The main safety features of the facility, such as seat belts, guard rails, etc.
capacity int The maximum number of people the facility can accommodate.
manufacturer string The manufacturer of the facility.
usage_status string The current usage status of the facility, such as operational, under maintenance, etc.

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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