Model: ybWw/stella-base-zh-v3-1792d-matryoshka-dataset_v1_chinadatapay
Author: ybWw
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2709, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2709, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: 该SDK首先会识别用户的面部特征，并获取相关数据，如眨眼、张嘴等动作信息。然后通过与预设的活体检测模型进行比对，分析动作的自然程度和一致性。如果用户的动作符合真实人类行为特征，并且不展示典型仿冒迹象，则可以认定其为真实活体。值得注意的是，该SDK还能够抵御常见攻击手段，如照片攻击、视频攻击等，以确保准确地完成活体检测任务。
sentences: 活体检测认证的流程是什么？, android活体检测sdk的工作原理是什么？, VIN码查询可以获取到哪些相关的车辆数据？, source_sentence: 在人脸识别领域，静默活体检测可以应用于多个方面。
在身份认证方面，静默活体检测可以提高人脸识别系统的安全性。传统的人脸识别可能容易受到照片、视频等攻击方式的欺骗，而静默活体检测能够有效防止这些攻击，并确保只有真实生物人才能通过验证。
在金融行业中，静默活体检测可用于支付认证。通过在移动支付等场景下引入静默活体检测技术，可以进一步提高用户支付过程中的安全性和便捷性。比如，在进行指纹或密码输入时同时要求用户进行一次简单地自然表情动作（如微笑），来确认其为真实生物人。
在公共安全监控领域也有广泛应用。借助于静默活体检测技术，监控摄像头能够准确辨识出潜在威胁因素，如佩戴人脸遮罩等行为。这不仅提高了监控系统的准确度和及时性，也有助于加强公共场所安全防范。
静默活体检测在人脸识别领域具有广泛应用前景，可提升身份认证、支付认证和公共安全监控等方面的安全性与效率。
sentences: 如何正确进行人脸识别的基本操作？, 静默活体检测在人脸识别领域的应用有哪些？, 如何在手机上进行手机号实名验证？, source_sentence: 值得注意的是，在进行实名认证时，需确保所提交的个人信息准确无误，并符合相关法律法规要求。为了保护用户隐私安全，建议选择正规、可信任、具备良好信誉度的实名认证接口服务商。数据宝就很值得考虑。数据宝的实名认证包括个人实名认证与企业实名认证。数据宝的接口受国家部委及央企等数据源一手授权，从源头保证数据合规性，数据覆盖人、车、路、企、环、能六大维度，且随数据源头更新频率实时更新。实时返回核验结果，高度准确。且能承载亿级业务处理量，高并发，高可用，高扩展。拥有大数据资产交易资质，且通过多项安全等级认证。
sentences: 应怎么选择实名认证接口服务商？, VIN码解读可以揭示出什么车辆信息？, 活体检测技术有哪些特点？, source_sentence: VIN码中的字母和数字代表着车辆的各种信息。其中，前三位通常代表制造商和国家代码；第4至8位表示车辆型号、排量及发动机类型等；第9位则是校验位，用于验证VIN码是否有效；而10位代表了汽车的生产年份；11位则表示厂商所使用的工厂代码；后6个字符包含了该汽车在生产过程中标识该单位特定序列编号。通过解析VIN码，可以获取到关于汽车品牌、型号、配置以及历史记录等重要信息。因此，VIN码对于购买二手汽车或者查询自己拥有的汽车信息非常重要。
sentences: 数据宝的活体检测是否可靠？, vin码中的字母和数字代表什么意思？, 车辆信息VIN查询如何获取准确的结果？, source_sentence: 它可以在手机解锁系统中使用，以确保只有真实的用户才能进入设备。活体检测可以应用于人脸支付领域，为用户提供更加安全和便捷的交易方式。在线视频会议和语音聊天等应用中，活体检测也可以验证用户身份，并防止冒充或欺诈行为的发生。另外，一些银行、金融机构以及政府机关等领域也利用活体检测技术来加强身份认证的可靠性和准确性。安卓活体检测在各个领域都具有广泛且重要的应用价值。
sentences: 需要注意哪些因素在使用人像比对api时？, 如何解决在人脸识别接口上出现的问题或故障？, 活体检测有哪些应用场景？
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
model-index: name: SentenceTransformer
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.6611295681063123
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7674418604651163
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8073089700996677
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.867109634551495
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6611295681063123
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2558139534883721
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16146179401993355
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08671096345514949
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6611295681063123
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7674418604651163
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8073089700996677
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.867109634551495
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7584664478064668
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7245056161999683
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7302286792270871
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.6611295681063123
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7674418604651163
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8106312292358804
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8538205980066446
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6611295681063123
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2558139534883721
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16212624584717608
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08538205980066443
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6611295681063123
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7674418604651163
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8106312292358804
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8538205980066446
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.755374938159015
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7241588883615462
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7307829050340557
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.6578073089700996
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7641196013289037
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7973421926910299
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8504983388704319
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6578073089700996
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2547065337763012
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15946843853820597
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08504983388704317
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6578073089700996
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7641196013289037
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7973421926910299
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8504983388704319
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7516265823981039
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.720372567631704
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7266198686709082
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.6644518272425249
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7574750830564784
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7940199335548173
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8372093023255814
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6644518272425249
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.25249169435215946
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15880398671096344
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08372093023255812
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6644518272425249
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7574750830564784
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7940199335548173
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8372093023255814
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7468446506054509
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7181867320571639
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7246519473055689
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.6378737541528239
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7308970099667774
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.760797342192691
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8372093023255814
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6378737541528239
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.24363233665559245
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1521594684385382
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08372093023255812
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6378737541528239
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7308970099667774
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.760797342192691
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8372093023255814
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7291834262103005
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6957153403997258
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7020525545873171
name: Cosine Map@100
verified: no
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Created: 2025-05-19 07:33:42