From SaaS shortlist to AI automation

Don't get left behind. Show Gralio how you work and our revolutionary new tool will return step-by-step guidance plus the exact software - or AI - to accelerate your work.

Logo of SSD Mobilenet V1 640x640

SSD Mobilenet V1 640x640

Website LinkedIn Twitter

Last updated on

Company health

Employee growth
12% increase in the last year
Web traffic
3% decrease in the last quarter

Ratings

G2
3.5/5
(1)
Glassdoor
3.7/5
(206324)

SSD Mobilenet V1 640x640 description

SSD Mobilenet V1 640x640 is a pre-trained object detection model. It can be used to identify and locate various objects within images. This model is particularly useful for applications that require fast and efficient object detection on mobile or embedded devices. Its efficiency makes it suitable for businesses with limited computing resources.


Who is SSD Mobilenet V1 640x640 best for

SSD Mobilenet V1 640x640 is a pre-trained object detection model optimized for mobile and embedded devices. Its efficiency makes it suitable for businesses with limited computing resources seeking cost-effective object detection capabilities. This model is particularly useful for applications requiring fast and efficient object detection on mobile or embedded devices.

  • Ideal for small to medium businesses (1-1000 employees).

  • Suitable for businesses across various industries.


SSD Mobilenet V1 640x640 features

Supported

The model is pre-trained for object detection, enabling it to identify and locate multiple objects within an image.

Supported

Specifically designed for mobile and embedded devices, this model ensures efficient object detection with minimal resource consumption.

Supported

SSD Mobilenet V1 640x640's efficiency is advantageous for businesses with limited resources, as it provides cost-effective object detection capabilities.

Supported

Being a pre-trained model, SSD Mobilenet V1 640x640 is readily available for integration without extensive training, allowing for faster deployment.

Supported

The model is optimized for 640x640 resolution images, ensuring efficient object detection performance at this resolution.


SSD Mobilenet V1 640x640 pricing

The commentary is based on 1 reviews from SSD Mobilenet V1 640x640 G2 reviews.

SSD Mobilenet V1 640x640 is considered an economical and cost-effective solution for mobile object detection. Users appreciate its affordability for basic tasks, making it an accessible option for beginners. While not ideal for complex scenes requiring high precision, its value lies in its low cost and ease of use.

See the SSD Mobilenet V1 640x640 pricing page.


SSD Mobilenet V1 640x640 alternatives

  • Logo of Discovery
    Discovery
    AI-powered product analytics for data-driven decisions and growth.
    Read more
  • Logo of Render
    Render
    Effortless cloud hosting and deployments for websites and apps.
    Read more
  • Logo of SqueezeNet 0
    SqueezeNet 0
    Tiny image recognition model, fast and efficient.
    Read more
  • Logo of EfficientNet B0 Lite
    EfficientNet B0 Lite
    Lightweight image classifier, fast and accurate for mobile.
    Read more
  • Logo of Inception ResNet V2
    Inception ResNet V2
    Advanced image recognition: highly accurate, pre-trained, and efficient.
    Read more
  • Logo of EfficientNet B5
    EfficientNet B5
    Scalable, accurate image recognition with efficient resource use.
    Read more

SSD Mobilenet V1 640x640 FAQ

  • What is SSD Mobilenet V1 640x640 and what does SSD Mobilenet V1 640x640 do?

    SSD Mobilenet V1 640x640 is a pre-trained object detection model optimized for mobile and embedded devices. It efficiently identifies and locates objects within 640x640 resolution images. This makes it suitable for businesses with limited resources seeking fast, cost-effective object detection capabilities.

  • How does SSD Mobilenet V1 640x640 integrate with other tools?

    There is no information available regarding specific integrations for SSD Mobilenet V1 640x640. However, as a pre-trained model, it's designed for relatively easy integration into mobile and embedded systems.

  • What the main competitors of SSD Mobilenet V1 640x640?

    Alternatives to SSD Mobilenet V1 640x640 include SqueezeNet 0 for a tiny and efficient model, EfficientNet B0 Lite for fast mobile image classification, and Inception ResNet V2 for high accuracy and efficiency. EfficientNet B5 offers scalability and accuracy with efficient resource utilization.

  • Is SSD Mobilenet V1 640x640 legit?

    SSD Mobilenet V1 640x640 is a legitimate pre-trained object detection model known for its speed and efficiency, especially on mobile devices. It's suitable for applications requiring fast object detection with limited resources.

  • How much does SSD Mobilenet V1 640x640 cost?

    I couldn't find pricing details for SSD Mobilenet V1 640x640. For accurate product pricing and to determine if the product is worth it, please check the vendor's official website or contact their sales team.

  • Is SSD Mobilenet V1 640x640 customer service good?

    There are no customer service reviews available for SSD Mobilenet V1 640x640. Therefore, I cannot determine if their customer service is good or bad.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.