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RMBG-1.4

briaai

RMBG v1.4 is our state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types. This model has been trained on a carefully selected dataset, which includes: general stock images, e-commerce, gaming, and advertising content, making it suitable for commercial use cases powering enterprise content creation at scale. The accuracy, efficiency, and versatility currently rival leading source-available models. It is ideal where content safety, legally licensed datasets, and bias mitigation are paramount. Developed by BRIA AI, RMBG v1.4 is available as a source-available model for non-commercial use. To purchase a commercial license, simply click Here.

Image segmentation
Input Image→ Output Image
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heretic1

briancollet

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Visual QA
Input Text · Image→ Output Text
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Category pending
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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jevling-e2b-v1-GGUF

BricksDisplay

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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