Dataset opportunity
Sntech — 图像数据集机会
Sntech 持有的中等图像数据集，可用于计算机视觉和多模态预训练。
Score
71.5
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
51%
Action
收购
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球可持续渔业和水产养殖人工智能市场在 2025 年的估值为 8.0 亿美元，预计复合年增长率为 13.5%（2026-2033 年）。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
图像数据集
Modality
图像
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
计算机视觉实验室和基础模型团队
Sntech 持有一个宝贵的图像数据集，该数据集来源于部署在第三方商业渔船上的专有硬件。该集合独特地丰富了 `geo_data` 和 `iot_data`，为高性能计算机视觉模型提供了必不可少的真实世界背景，旨在实现物种自动识别、渔获物监测和兼捕分析。
商业价值巨大，因为这些数据直接支持可持续渔业和水产养殖人工智能市场，该市场在 2025 年的估值为8.0 亿美元，预计将以13.5% 的复合年增长率增长。虽然访问需要处理与船舶运营商的共有权并明确二次人工智能培训的使用，但该数据集的稀有性和特异性使其成为针对这一高增长、受监管的工业领域开发商的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据通过部署在第三方商业渔船上的硬件收集；所有权很可能在船舶运营商和 SNTech 之间划分；需要明确二次人工智能培训市场的数据使用权。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Sntech 拥有在实际商业捕捞作业中捕获的水下和船上图像的专有集合。这些独特的视觉数据对于寻求构建和验证物种识别、渔获物分析和环境监测模型的计算机视觉实验室和基础模型团队来说是关键资产。在预计每年增长 13.5% 的可持续渔业人工智能市场中，这一稀有的真实世界数据集提供了支持下一代海洋应用程序所需的专有培训材料。
See dimension details ↓- Dataset Specificity90
主导的“图像集合”，工业部门，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于计算机视觉
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
人工智能买家需求旺盛，这得益于可持续渔业和水产养殖人工智能市场的显著增长，该市场正以 13.5% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength65
3 种证据类型，4 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit67
✓ 良好目标 — 该实体拥有一个有价值的、小众的水下图像数据集，该数据集似乎是海洋/水生硬件业务的副产品，理论上是理想的目标，但实际上无法联系。问题：公司网站 https://www.sntech.co.uk 已失效；未找到该实体或与数据集相关的团队的公开联系信息（电子邮件、电话）；确切的公司状态不清楚，尽管有证据表明是一个小型英国团队。
- Deep Qualification90
⚠ 需要审查 — 该目标，现为 CatchCam Technologies，向渔民和研究人员销售水下摄像头系统。有价值的图像数据由其客户生成并拥有，而不是公司，因此直接获取数据的可能性极小。[数据由公司客户拥有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
该公司直接从商业渔船捕获水下视频和视觉数据，为训练计算机视觉模型处理真实海洋作业提供了高稀有性资产。
IoT / sensor data
Sntech 收集关于水下环境条件的时间序列数据，提供至关重要的背景信息，这些信息可以与图像融合，以构建更复杂的人工智能模型。
Geospatial data
持有者收集与渔业效率和生物多样性监测相关的表格数据，这对于开发面向位置和基于性能的人工智能工具至关重要，适用于渔业部门。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
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Deliverable
Premium dataset report
Sntech Image — a Moderate image dataset (Image modality) in the industrial domain. Primary AI use-case: Computer Vision. Market signal: Global Artificial Intelligence in Sustainable Fisheries and Aquaculture Market was valued at $0.80 billion in 2025, with a projected CAGR of 13.5% (2026-2033) (source: Future Data Stats).. Investment score 71.5/100 (confidence 0.51). Recommended action: Acquire.
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