Labellerr vs. Hive Data
A side-by-side comparison based on G2 review data.
| Metric | Labellerr | Hive Data |
|---|---|---|
| Overall rating | 4.8 | 4.4 |
| Review count | 21 | 10 |
| Ease of use | 9.7 | 9.0 |
| Ease of setup | 9.3 | 8.9 |
| Quality of support | 9.8 | 9.1 |
| Meets requirements | 9.4 | 8.4 |
| NPS | 85.714286 | 50 |
| Small Business | 57.1% | 40.0% |
| Mid-Market | 38.1% | 10.0% |
| Enterprise | 4.8% | 50.0% |
| Total page views | 89 | 65 |
| Total LLM citations | 220 | 273 |
Labellerr
Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs.
- Efficiency
- Response Speed
- Annotation Efficiency
- Data Accuracy
- Collaboration
- Quality
Hive Data
Founded in 2013, Hive is a pioneering AI company specialized in computer vision and deep learning. Hive is focused on powering innovators across industries with practical AI solutions and data labeling, grounded in the world's highest quality visual and audio metadata. The company solves challenges for enterprises through three main pillars of the business: Hive Data, Hive Predict, and Hive Enterprise. Hive Data is the world's largest distributed data labeling platform with over 2 million registered contributors globally.