The Complete Guide to Data Annotation [2024 Review]
Blog post from Encord
- Encord is a comprehensive AI-assisted platform for collaboratively annotating data, orchestrating active learning pipelines, fixing dataset errors, and diagnosing model errors & biases. - It helps companies develop their training data pipeline while removing compliance headaches. - The platform includes features such as AI-assisted labeling, model training & diagnostics, finding and fixing dataset errors and biases, all in one collaborative active learning platform. - Encord's DICOM labeling tool allows users to annotate medical images directly from the PACS system. - The company has worked with multiple customers from different jurisdictions and data requirements, providing expertise in handling training data for AI applications. ```
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 38 | 700 | 111 | 40 | +38% |
| Real-time | 35 | 1,360 | 397 | 144 | -3% |
| Vector Search | 30 | 307 | 82 | 41 | -9% |
| AI Guardrails | 6 | 68 | 42 | 10 | +19% |
| LLM | 5 | 280 | 62 | 30 | +133% |
| Reinforcement learning | 5 | 40 | 12 | 7 | +82% |
| Serverless | 4 | 604 | 118 | 66 | -57% |
| AI Model Fine-tuning | 2 | 65 | 25 | 24 | +48% |
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