Use Case

Image Classification


The BG-20k dataset is a meticulously curated collection of high-resolution background images, specifically designed to support a wide range of image processing and machine learning applications. Comprising 20,000 high-quality images, this dataset is unique in that it features backgrounds without any prominent objects, making it ideal for creating synthetic data and training models in tasks such as image matting, background subtraction, and inpainting.


About BG-20k Dataset

The “BG-20k dataset v1.0” is a collection of 20,000 high-quality background images without prominent objects in them. These images are great for creating synthetic data for tasks like image matting, which involves separating objects from their backgrounds. 

Moreover, the purpose of this dataset is to support research in image matting and related areas. Additionally, it provides an invaluable resource for researchers and developers working on advanced image processing techniques. Furthermore, by utilizing the BG-20k Dataset, one can significantly enhance the accuracy and efficiency of their image matting algorithms and related applications.

This dataset also enables the creation of diverse training data for machine learning models, improving their robustness and generalizability. Ultimately, the BG-20k Dataset serves as a foundational tool for advancements in visual computing and artificial intelligence.


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Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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