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Compare Dataloop and Microsoft Computer Vision API 
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At a Glance
Market Segments
Mid-Market (39.8% of reviews)
Small-Business (46.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataloopMicrosoft Computer Vision API
Star Rating
(48)4.1 out of 5
Market Segments
Small-Business (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft Computer Vision APISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Microsoft Computer Vision API excels in Object Detection with a score of 9.0, while Dataloop also performs well but slightly lower at 9.2. Reviewers mention that the API's ability to accurately identify and classify objects in images is a standout feature.
- Reviewers mention that Dataloop shines in Data Management & Annotation, particularly with its Smart Data Triage feature, which received high praise for enhancing data labeling workflows. Users on G2 appreciate the automation capabilities that streamline the annotation process.
- G2 users highlight that Microsoft Computer Vision API offers superior Emotion Detection capabilities, scoring 8.4, which is beneficial for applications requiring sentiment analysis. In contrast, Dataloop's performance in this area is less emphasized, indicating a potential gap for users focused on emotional analytics.
- Users say that Dataloop's Model Training features, particularly its Pre-Built Algorithms, are user-friendly and effective, scoring 8.1. In comparison, Microsoft Computer Vision API's model training capabilities are rated lower at 8.3, suggesting that Dataloop may provide a more intuitive experience for users new to model development.
- Reviewers mention that the Quality of Support for Dataloop is rated higher at 8.9 compared to Microsoft Computer Vision API's 8.3. Users appreciate the responsiveness and helpfulness of Dataloop's support team, which can be crucial for businesses needing timely assistance.
- Users on G2 report that Dataloop's Scalability is rated at 8.8, indicating it can handle growing data needs effectively, while Microsoft Computer Vision API scores slightly lower at 8.3. This difference suggests that Dataloop may be better suited for organizations anticipating rapid growth or increased data volume.
Pricing
Entry-Level Pricing
Dataloop
No pricing availableMicrosoft Computer Vision API
No pricing availableFree Trial
Dataloop
No trial information availableMicrosoft Computer Vision API
No trial information availableRatings
Meets Requirements
8.7
75
8.5
39
Ease of Use
8.8
76
8.2
40
Ease of Setup
8.5
40
8.3
39
Ease of Admin
8.8
20
8.4
36
Quality of Support
8.9
74
8.3
34
Has the product been a good partner in doing business?
8.8
20
8.4
36
Product Direction (% positive)
8.6
68
7.9
39
Features by Category
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
8
Not enough data
Model Development
9.3
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
Model Development
8.3
8
Not enough data
Machine/Deep Learning Services
9.4
8
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.3
9
Not enough data
Machine/Deep Learning Services
8.6
6
Not enough data
8.3
9
Not enough data
Deployment
8.9
6
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
Generative AI
7.9
7
Not enough data
8.5
8
Not enough data
9.2
6
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
8.8
53
Not enough data
9.0
53
Not enough data
9.1
54
Not enough data
8.9
52
Not enough data
Automation
8.8
52
Not enough data
8.7
48
Not enough data
Image Annotation
9.2
51
Not enough data
9.2
52
Not enough data
9.1
50
Not enough data
9.2
51
Not enough data
Natural Language Annotation
9.0
43
Not enough data
8.9
42
Not enough data
8.9
45
Not enough data
Speech Annotation
9.0
40
Not enough data
8.9
39
Not enough data
Recognition Type
8.4
34
Not enough data
9.0
36
Not enough data
8.6
35
Not enough data
8.4
32
Not enough data
8.8
32
Not enough data
8.7
33
Not enough data
8.5
33
Not enough data
8.8
33
Not enough data
Facial Recognition
8.8
33
Not enough data
8.6
32
Not enough data
Labeling
8.9
34
Not enough data
9.4
33
Not enough data
8.7
32
Not enough data
Deployment
8.3
33
Not enough data
Model Training & Optimization - Active Learning Tools
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
Data Management & Annotation - Active Learning Tools
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
Model Performance & Analysis - Active Learning Tools
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
Categories
Categories
Shared Categories
Dataloop and Microsoft Computer Vision API are categorized as Image Recognition
Unique Categories
Dataloop is categorized as Active Learning Tools, Data Labeling, MLOps Platforms, and Data Science and Machine Learning Platforms
Microsoft Computer Vision API has no unique categories
Reviews
Reviewers' Company Size
Dataloop
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Computer Vision API
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
Information Technology and Services
27.3%
Computer Software
26.1%
Retail
2.3%
Research
2.3%
Oil & Energy
2.3%
Other
39.8%
Hospital & Health Care
12.8%
Marketing and Advertising
8.5%
Public Relations and Communications
6.4%
Writing and Editing
4.3%
Information Technology and Services
4.3%
Other
63.8%
Discussions
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
Is Dataloop free?
1 Comment
Official Response from Dataloop
Dataloop operates on a quote-based pricing model and does not currently offer a free plan. Our pricing is tailored to match the specific needs and scale of...Read more
Microsoft Computer Vision API has no discussions with answers
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