IBM Watson Visual Recognition (discontinued) vs. Quantum Boost

IBM Watson Visual Recognition (discontinued)

IBM Watson Visual Recognition (discontinued)

7 Reviews and Ratings

Quantum Boost

Quantum Boost

0 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM Watson Visual Recognition (discontinued)	Score 10.0 out of 10	N/A	IBM's Watson Visual Recognition was a machine learning application designed to tag and classify image data, and deployable for a wide variety of purposes. The service was discontinued in early 2021, and is no longer available.	N/A
Quantum Boost	Score 0.0 out of 10	N/A	Quantum Boost is an advanced online platform that uses artificial intelligence to reach set targets through the fewest possible experiments. Key features: Faster than DoE: Quantum Boost uses AI algorithms to ensure targets are achieved in the fewest amount of experiments possible. Flexible project development: Ability to update project definitions without losing all the knowledge gained so far, unlike most DoE software. User-friendliness:…	$95 per month

Pricing

IBM Watson Visual Recognition (discontinued)

Quantum Boost

Editions & Modules

No answers on this topic

Trial: $0
14 days
Starter: $95
per month
Enterprise: Custom
per year

Offerings

Pricing Offerings
IBM Watson Visual Recognition (discontinued)	Quantum Boost
Free Trial
No	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	IBM Watson Visual Recognition (discontinued)	Quantum Boost

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	IBM Watson Visual Recognition (discontinued)	Quantum Boost
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User Ratings
	IBM Watson Visual Recognition (discontinued)	Quantum Boost
Likelihood to Recommend	9.0 (2 ratings)	- (0 ratings)
Usability	6.0 (1 ratings)	- (0 ratings)

User Testimonials
	IBM Watson Visual Recognition (discontinued)	Quantum Boost
Likelihood to Recommend	Discontinued Products As I mentioned before, it can only be employed in simple basic visual recognition applications. It can be employed in large projects and relying it on completely is not encouraged. It's better to create your own algorithms rather than using it. If you are from a non-programming background, then I may suggest you rely on this and use it to develop simple apps that can predict a few plants and animals. Incentivized Verified User Anonymous Read full review	Quantum Boost Ltd No answers on this topic
Pros	Discontinued Products Food recognition High reliability Speed Incentivized Verified User Anonymous Read full review	Quantum Boost Ltd No answers on this topic
Cons	Discontinued Products Not perfect Accuracy is doubted and sometimes it may not predict correctly. I think it should be improved and should add a few more functionalities. Incentivized Verified User Anonymous Read full review	Quantum Boost Ltd No answers on this topic
Usability	Discontinued Products I am giving this rating on the basis of its usability in real-time applications and based on the interface to upload negative and positive images to train the AI. But it's not perfect and sometimes its predictions are wrong. On overall usability, it's better if you are planning on working with UI rather than using complex programs and algorithms on your own. Incentivized Verified User Anonymous Read full review	Quantum Boost Ltd No answers on this topic
Return on Investment	Discontinued Products High cost if models are trained Incentivized Verified User Anonymous Read full review	Quantum Boost Ltd No answers on this topic
ScreenShots		Quantum Boost Screenshots