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# Intro #
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Xtreme1 is the world's first open-source platform for Multimodal training data.
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Xtreme1 unlocks deep insights into data annotation, curation and ontology management for tackling machine learning challenges in 2D images and 3D point cloud datasets. The platform's AI-fueled tools elevate your annotation game to the next level of efficiency, powering your projects in 2D/3D Object Detection, 3D Instance Segmentation and LiDAR-Camera Fusion like never before.
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Xtreme1 unlocks deep insights into data annotation, curation and ontology management for tackling machine learning challenges in computer vision and LLM. The platform's AI-fueled tools elevate your annotation game to the next level of efficiency, powering your projects in 2D/3D Object Detection, 3D Instance Segmentation and LiDAR-Camera Fusion like never before.
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It is now hosted in [LF AI & Data Foundation](https://medium.com/multisensory-data-training/xtreme1-the-first-open-source-labeling-annotation-and-visualization-project-is-debuting-at-the-da1d157d1512) as the 1st open source data labeling annotation and visualization project.
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:six: Model results visualization to help you evaluate your model
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:seven: RLHF for Large Language Models :new: (beta version)
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Image Data Curation (Visualizing & Debug) - [MobileNetV3](https://github.com/xiaolai-sqlai/mobilenetv3) & [openTSNE](https://github.com/pavlin-policar/openTSNE) | Lidar-camera Fusion Data Curation (Filter by Class name X Cross Dataset)
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Image Data Curation (Visualizing & Debug) - [MobileNetV3](https://github.com/xiaolai-sqlai/mobilenetv3) & [openTSNE](https://github.com/pavlin-policar/openTSNE) | RLHF Annotation tool for LLM (beta version)
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