RMBG v2.0 is Bria’s premier background removal model, designed to accurately and efficiently separate foregrounds from backgrounds across various image types.
Trained on a meticulously curated dataset, RMBG v2.0 ensures reliable and consistent performance that caters to a diverse range of commercial applications. This model also offers full access to source code and weights, giving enterprises unmatched versatility and making it the optimal choice for businesses aiming to streamline their content workflows.
By subscribing to the 'Remove Background model for commercial use' you agree to the Terms & Conditions. For more information on the technical details please visit Bria on HuggingFace.
RMBG v2.0 is developed on the IS-Net enhanced with our unique training scheme and proprietary dataset. These modifications significantly improve the model’s accuracy and effectiveness in diverse image-processing scenarios.
Training data
Bria-RMBG model was trained with over 12,000 high-quality, high-resolution, manually labeled (pixel-wise accuracy), fully licensed images. Our benchmark included balanced gender, balanced ethnicity, and people with different types of disabilities. For clarity, see our data distribution by category, demonstrating our model’s versatility.
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