Smart multimodule training data sets covering retail, hotel, logistics, medical, industrial and household sectors with complete Datasheet to support business/scientific research/customization
430万+条操作轨迹 · 6大行业覆盖 · 错误率<0.5%
AI model training is extremely demanding for data size, quality and compliance, and open source data sets are difficult to meet commercial landing needs
The limited size of the open source smart data set, the single scene, does not support large-scale VLA model pre-training and there is a risk of use due to vague licensing。
Most open-source data sets explicitly prohibit commercial use, business is at risk of abuse, and self-constructed data sets have a long and costly cycle。
Unstandardized and highly volatile public data sets, lack of uniform quality control standards and trained modelling capability Bad。
Shortage of data for retail, hotel, medical, etc., open data sets and poor performance of models in vertical industries。
6 Standardized Industry Data Set + Strict Quality Control + Full Capacity Matrix for Flexible Authorization
Retail handling 100,000 copies/3 million operating clips
50,000 hotel room service.
物流仓储8万条
20,000 basic medical operations
工业装配3万条
家庭日常15万条
7-dimensional complete data sheets
错误率<0.5%
Business/scientific research/customization of three mandates
| Parameter Item | Specifications |
|---|---|
| 数据集数量 | 6 major industries (6 standard data sets) |
| 总轨迹数 | 430万+条 |
| 总操作片段 | 300万+ |
| Covering industry | Retail/hotel/logistics/medical/industry/household |
| Data Format | Multi-view visual + IMU + touch + audio multimodular |
| Quality assurance | Level 3 manual quality check + algorithm consistency test |
| 错误率 | <0.5%(实际0.38%) |
| 授权模式 | Commercial buyout/scientific research free/or customized collection |
| Datasheet | 中英文双语·7大维度完整 |
6 major industry data mix pre-training to upgrade VLA model cross-situation capability。
Training of retail handling robots based on TB-Retail-100K, 27 per cent increase in the accuracy of zero samples。
TB-Hotel-50K-based training room service robots covering typical service scenarios。
Training logistics sorting robots based on TB-Logi-80K to improve the efficiency of warehousing operations。
Training of medically assisted robots based on TB-Med-20K to support basic operational automation。
Training of domestic service robots based on TB-Home-150K to cover day-to-day household scenes。
"TB-Retail-100K has increased the accuracy of our retail scene sample by 27%."
"Six major industry data sets were used, and real mission success increased from 18% to 62%."
"The model of free authorization for scientific research is excellent. Our paper has quoted TB-Home-150K."
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