
Labellerr
21
Reviews
4.8
Star rating
#24
Rank in Data Labeling
Pros and cons
Pros
- Efficiency
- Response Speed
- Annotation Efficiency
- Data Accuracy
- Collaboration
- Quality
Cons
- Difficult Setup
Traffic & LLM citations
Source: G2 review data
Key stats
—
86
Small Business
3
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 57.1% |
| Mid-Market | 38.1% |
| Enterprise | 4.8% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q1 | 1 | 5.0 |
Satisfaction ratings
Ease of Use9.7
Ease of Setup9.3
Quality of Support9.8
Meets Requirements9.4
What reviewers say
LabellErr annotation partnership for waste image computer vision
5.0
“Great team, very good annotation quality, excellent collaboration.”
Support for diverse data types
4.0
“Intuitive UI effortless navigation Great for collaborative team projects Support for diverse datatypes Ease of use Autosaves work”
Great tool for data scientists
5.0
“Tool is built keeping the needs of training ML model at centre. The UI is easy and can be very well customized.”