Compare Encord and FiftyOne 
Featured Products
At a Glance
Market Segments
Small-Business (51.6% of reviews)
Small-Business (63.6% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Encord
Star Rating
(65)4.8 out of 5
Market Segments
Small-Business (51.6% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about EncordFiftyOne
Star Rating
(23)4.5 out of 5
Market Segments
Small-Business (63.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about FiftyOneEncord vs FiftyOne
- Reviewers felt that Encord meets the needs of their business better than FiftyOne.
- When comparing quality of ongoing product support, reviewers felt that Encord is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of FiftyOne over Encord.
Pricing
Entry-Level Pricing
Encord
Simple and scalable pricing
Contact Us
Our pricing scales with your organization. Start building out your data annotation & active learning pipelines today.
- Computer vision labeling toolkit
- Model assisted labeling using your own models or our proprietary micro-models
- Automated object tracking and interpolation
FiftyOne
No pricing availableFree Trial
Encord
Free Trial is available
FiftyOne
Free Trial is available
Ratings
Meets Requirements
9.3
50
8.9
16
Ease of Use
9.5
51
8.1
17
Ease of Setup
8.3
15
8.2
15
Ease of Admin
8.1
14
Not enough data
Quality of Support
9.9
49
8.2
14
Has the product been a good partner in doing business?
9.5
14
Not enough data
Product Direction (% positive)
9.8
50
10.0
16
Features by Category
Deployment
9.4
6
Not enough data
9.5
7
Not enough data
9.8
7
Not enough data
9.8
8
Not enough data
9.8
8
Not enough data
Deployment
10.0
6
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
10.0
8
Not enough data
Management
9.8
7
Not enough data
9.8
8
Not enough data
10.0
6
Not enough data
9.8
8
Not enough data
Operations
10.0
6
Not enough data
9.7
6
Not enough data
10.0
9
Not enough data
Management
10.0
7
Not enough data
10.0
8
Not enough data
9.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
5
Not enough data
Model Development
Not enough data
Not enough data
9.7
6
Not enough data
10.0
5
Not enough data
9.7
6
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
9.5
7
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.7
5
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
9.7
5
Not enough data
Deployment
10.0
7
Not enough data
9.8
7
Not enough data
9.5
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality
9.4
33
Not enough data
9.8
32
Not enough data
9.5
33
Not enough data
9.8
31
Not enough data
Automation
9.5
26
Not enough data
9.5
25
Not enough data
Image Annotation
9.6
32
Not enough data
9.3
28
Not enough data
9.2
24
Not enough data
9.7
26
Not enough data
Natural Language Annotation
9.6
15
Not enough data
9.7
15
Not enough data
9.6
17
Not enough data
Speech Annotation
9.6
15
Not enough data
9.5
14
Not enough data
Recognition Type
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Facial Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Labeling
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Model Training & Optimization - Active Learning Tools
Not enough data
9.3
12
Not enough data
8.8
11
Not enough data
8.2
11
Not enough data
8.3
11
Not enough data
9.1
11
Data Management & Annotation - Active Learning Tools
Not enough data
8.8
11
Not enough data
8.9
11
Not enough data
9.2
10
Not enough data
8.8
10
Not enough data
9.2
11
Model Performance & Analysis - Active Learning Tools
Not enough data
8.5
12
Not enough data
8.8
10
Not enough data
9.0
10
Not enough data
8.9
11
Not enough data
9.3
12
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Encord and FiftyOne are categorized as Active Learning Tools and Data Labeling
Unique Categories
Encord is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Image Recognition, and Machine Learning
FiftyOne has no unique categories
Reviews
Reviewers' Company Size
Encord
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
FiftyOne
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
37.5%
Hospital & Health Care
12.5%
Medical Devices
10.9%
Food & Beverages
9.4%
Information Technology and Services
7.8%
Other
21.9%
Computer Software
41.2%
Food Production
11.8%
Computer & Network Security
11.8%
Retail
5.9%
Government Administration
5.9%
Other
23.5%
Discussions
Encord has no discussions with answers
FiftyOne has no discussions with answers
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