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 | 655 | 104 | 37 | +35% |
| Real-time | 35 | 1,162 | 354 | 129 | -11% |
| Vector Search | 30 | 273 | 73 | 35 | -17% |
| AI Guardrails | 6 | No monthly metrics for this publish month. | |||
| LLM | 5 | 274 | 59 | 27 | +154% |
| Reinforcement learning | 5 | No monthly metrics for this publish month. | |||
| Serverless | 4 | 566 | 106 | 58 | -60% |
| AI Model Fine-tuning | 2 | No monthly metrics for this publish month. | |||
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