Model: ybWw/bge-base-financial-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: 0.6843853820598007
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.760797342192691
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7807308970099668
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8338870431893688
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6843853820598007
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2535991140642303
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15614617940199335
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08338870431893687
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6843853820598007
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.760797342192691
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7807308970099668
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8338870431893688
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7553036218172378
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7307440805779677
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7380701486365912
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: 0.6810631229235881
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7641196013289037
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7774086378737541
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8239202657807309
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6810631229235881
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2547065337763012
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15548172757475082
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08239202657807308
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6810631229235881
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7641196013289037
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7774086378737541
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8239202657807309
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7499868958591149
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7267428676897115
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7345674186440035
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: 0.6744186046511628
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7475083056478405
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7740863787375415
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8272425249169435
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6744186046511628
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.24916943521594678
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15481727574750828
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08272425249169435
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6744186046511628
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7475083056478405
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7740863787375415
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8272425249169435
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7452984362100206
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7199177345356749
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7271380852985168
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: 0.7541528239202658
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7674418604651163
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8172757475083057
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6644518272425249
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.25138427464008856
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1534883720930232
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08172757475083056
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6644518272425249
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7541528239202658
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7674418604651163
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8172757475083057
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7394792204589994
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7149106154089543
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7217736180595165
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: 0.654485049833887
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7209302325581395
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7674418604651163
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.7807308970099668
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.654485049833887
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.24031007751937983
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15348837209302324
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.07807308970099666
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.654485049833887
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7209302325581395
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7674418604651163
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.7807308970099668
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7168988253716435
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6962387280493594
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7046560486979876
name: Cosine Map@100
verified: no
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Created: 2025-05-19 06:37:20