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<li>[2023-04-11] :fire: PaddleSeg v2.8 is released! Check more details in <ahref="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
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<li>[2023-10-29] :fire: PaddleSeg v2.9 is released! Check more details in <ahref="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
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<ul>
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<li>Release <a href="./contrib/SegmentAnything">Segment Anything Model</a> based on PaddlePaddle. Demos are provided to demonstrate the function of automatic full-image segmentation and specified object segmentation with prompt input.</li>
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<li>Release <a href="./configs/pp_mobileseg">PP-MobileSeg</a>, a lightweight semantic segmentation model for mobile devices. Comparing PP-MobileSeg with other models on the ADE20K dataset, the segmentation accuracy is improved by 1.5%, the inference speed is accelerated by 42.3%, and the number of parameters is decreased by 34.9%. </li>
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<li>Release <a href="./contrib/QualityInspector">QualityInspector v0.5</a>, a full-process solution for industrial quality inspection. It provides a unified and configurable pipeline for single-task and multi-task models, integrates detection and segmentation model libraries, and supports three unsupervised quality inspection methods. </li>
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<li>Release <a href="./contrib/PanopticSeg">PanopticSeg v0.5</a>, a universal panoptic segmentation solution. It provides the full-process capabilities of panoptic segmentation, integrates two models, and has flexible secondary development capabilities. </li>
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<li>Support <a href="./configs/multilabelseg">Multi-label segmentation</a>, it procides multi-label segmentation support on a serie of semantic segmetation models.</li>
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<li>Release <a href="./configs/SegmentAnything">Mobile SAM</a>, faster version of Segment Anything Model. </li>
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<li>Support <a href="./deploy/slim/act">Quant Aware Distillation Training Compression</a> for PP-LiteSeg, PP-MobileSeg, OCRNet, and SegFormer-B0 to improve model inference speed. </li>
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</ul>
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<li>[2022-04-11] PaddleSeg v2.8 released <ahref="./contrib/SegmentAnything">Segment Anything Model</a>, an original light-weight semantic segmentation model on mobile devices <ahref="./configs/pp_mobileseg">PP-MobileSeg</a>, <ahref="./contrib/QualityInspector">QualityInspector v0.5</a>, a full-process solution for industrial quality inspection, and <ahref="./contrib/PanopticSeg">PanopticSeg v0.5</a>, a universal panoptic segmentation solution.
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<li>[2022-11-30] PaddleSeg v2.7 released a real-time human matting model <ahref="./Matting/">PP-MattingV2</a>, a 3D medical image segmentation solution <ahref="./contrib/MedicalSeg/">MedicalSegV2</a>, and a real-time semantic segmentation model <ahref="./configs/rtformer/">RTFormer</a>.
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<li>[2022-07-20] PaddleSeg v2.6 released a real-time human segmentation SOTA solution <ahref="./contrib/PP-HumanSeg">PP-HumanSegV2</a>, a stable-version semi-automatic segmentation annotation tool <ahref="./EISeg">EISeg v1.0</a>, a pseudo label pre-training method PSSL, and the source code of PP-MattingV1. </li>
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<li>[2022-04-20] PaddleSeg v2.5 released a real-time semantic segmentation model <ahref="./configs/pp_liteseg">PP-LiteSeg</a>, a trimap-free image matting model PP-MattingV1, and an easy-to-use solution for 3D medical image segmentation MedicalSegV1.</li>
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