Lingfeng Autonomous Driving Display Template

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multi-modal data

Intelligent annotation platform

A one-stop labeling workbench covering point clouds, voice, images, videos, text and multimodal large models, AI pre-labeling + multiple rounds of quality inspection + full-cycle project management, making large-scale data production fast and accurate.

Intelligent annotation platform

A one-stop labeling workbench covering point clouds, voice, images, videos, text and multimodal large models, AI pre-labeling + multiple rounds of quality inspection + full-cycle project management, making large-scale data production fast and accurate.

diversification

Demand

The platform covers multiple types of annotation tasks, selected according to the data type, and you can browse the subdivision types and application scenarios of each capability within the station.

https://cdn.yun.sooce.cn/6/70269/webp/5e62b40132dd7f4121c297f3869c6e9b.webp

point cloud annotation
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large model annotation
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voice markup
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video annotation
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image annotation
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textual annotation

point cloud annotation

Supports 3D lidar point cloud target tracking, point cloud segmentation, 4D point cloud annotation, and 4D point cloud segmentation annotation.

large model annotation

Support core tasks such as LLM multiple rounds of Q & A annotation and Q & A quality assessment. It can realize multi-modal data annotation, covering picture-text pair annotation, video-text pair annotation, and picture-video cross-modal understanding annotation, and provides GUI labeling function support.

voice markup

Support single paragraph, seamless multi-paragraph, and sewn multi-paragraph speech transcriptions, and support Text To Speech TTS verification tasks.

video annotation

Support marking of abnormal behavior events in videos, and mark specific attributes, support video tracking and marking, etc.

image annotation

Support 2D common key points, lines, boxes and other annotation tasks, and support refined annotation, pseudo-3D boxes and OCR annotation.

textual annotation

Support PDF format text annotation, support entity annotation, entity relationship annotation, intention understanding and other annotation tasks.

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Flexible workflow configuration

Multiple rounds of quality inspections ensure data quality

Support multiple forms of data distribution per package and per strip, and also support multi-node labeling and quality inspection process configuration to strictly ensure data quality.

Multi-role, multi-level authority management

Strictly adhere to the bottom line of data security

The platform has built-in security functions such as template watermarking, log auditing, login verification, and API authorization management. It also supports privatization deployment, and data does not go out, which meets security evaluation standards.