Label X has established a comprehensive, multi-dimensional security audit system that conducts regular smart contract audits, node security checks, and data encryption audits, thereby constructing a multi-layered security defense barrier.🥸
Label X integrates model distillation technology, utilizing soft labels generated by large models to assist human annotators; this reduces annotation requirements by 60% while maintaining model accuracy, thereby significantly lowering the training costs for smaller models.🎛️
Label X provides a unified SDK for multiple languages such as Python, Java, JavaScript, and Go, and supports one-click access across all platforms including cloud platforms, local servers, and edge devices, significantly reducing the integration costs for developers.⚒️
Label X integrates model distillation technology, utilizing soft labels generated by large models to assist human annotators; this reduces annotation requirements by 60% while maintaining model accuracy, thereby significantly lowering the training costs for smaller models.📚
LabelX builds a real-time annotation stream processing engine that supports continuous data stream access,realtime distribution,instant annotation.The annotation results are returned in milliseconds after verification,supporting the closedloop operation of online learning systems
Label X adopts a multi-tenant isolation architecture, providing each enterprise user with an independent virtual private network. Tasks, data, and settlements are completely isolated, meeting enterprise-level data security and compliance requirements.🏢
Label X establishes an on-chain data lineage tracking system, recording the complete flow path of data from collection, labeling, cleaning to training, and generating an immutable data lineage map.🔍
Label X builds a heterogeneous computing annotation engine that supports collaborative work of multiple hardware such as CPU,GPU,NPU It automatically allocates the optimal computing resources according to the task type,increasing the speed of image and video annotation by 8 times
Label X has established a developer ecosystem fund to support the development of third-party applications based on Label X infrastructure. The fund will focus on supporting ecosystem projects such as vertical industry annotation tools, data trading applications🗣️
Label X builds a distributed parallel data processing engine that supports sharding, preprocessing, and parallel distribution of terabyte-scale datasets. The time from task deployment to the first response is controlled within 100 milliseconds.⚡️
Label X establishes a node system: labeling nodes are responsible for executing tasks, verification nodes are responsible for verifying results, and scheduling nodes are responsible for task distribution. 🔦
Label X builds a distributed parallel data processing engine that supports sharding, preprocessing, and parallel distribution of terabyte-scale datasets. The time from task deployment to first response is controlled within 100 milliseconds.🎛️
Label X employs a proxy contract model and a multi-signature governance mechanism.All contract upgrade proposals must be approved by a community vote before they can be implemented.The upgrade process is transparent and traceable,while retaining the ability to roll back contracts
Label X adopts a modular architecture design and supports independent module upgrades. The dedicated RLHF module will be launched in Q3 2026, the federated annotation module will be integrated in Q4 2026🗺️
Label X natively integrates the IPFS distributed storage network, where all annotation results and dataset hashes are stored. Data is permanently stored and immutable, and anyone can verify data integrity using the hash value.🖨️
Dynamic Prioritization + On-Demand Resource Scheduling = Solving the Resource Mismatch Problem in the AI Annotation Industry.
💎🦯The Label X Intelligent Task Scheduling System matches global node resources in real time,
Label X employs dynamic network sharding technology, automatically dividing tasks into independent shards based on task type and load. Each shard processes tasks in parallel, and the overall network throughput increases linearly with the number of nodes.⚖️
🧲Label X integrates zero-knowledge proof technology, allowing annotators to generate proofs after completing annotations. Verification nodes can then verify the correctness of the annotations without needing to view the original annotation results.