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Segments.ai VS sysvinit

Compare Segments.ai VS sysvinit and see what are their differences

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Segments.ai logo Segments.ai

Multi-sensor labeling platform for robotics and autonomous driving

sysvinit logo sysvinit

Savannah is a central point for development, distribution and maintenance of free software, both GNU and non-GNU.
  • Segments.ai Homepage
    Homepage //
    2024-04-12

Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds.

Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it.

Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together.

Get started with a free trial today at https://segments.ai/join

  • sysvinit Landing page
    Landing page //
    2023-07-05

Segments.ai

Website
segments.ai
Pricing URL
Official Segments.ai Pricing
$ Details
freemium €800.0 / Monthly (Includes 3,600 hours/yr of labeling usage)
Platforms
AWS Azure Python TensorFlow Hugging Face 🤗
Release Date
2020 January
Edit details

sysvinit

Website
savannah.nongnu.org
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Segments.ai features and specs

  • Image Segmentation: Semantic Segmentation / Instance Segmentation / Panoptic Segmentation
  • Image Vector Labeling: Bounding Boxes / Polygons / Polylines / Keypoints
  • Point Cloud Segmentation: Semantic Segmentation / Instance Segmentation / Panoptic Segmentation
  • Point Cloud Vector Labeling: Cuboids / Polygons / Polylines / Keypoints
  • ML-powered labeling tools: SuperPixel 2.0 / Autosegment
  • Multi-sensor fusion: 2D and 3D overlay / 3D to 2D projections
  • Powerful Python SDK: Yes
  • Unlimited sized Point Clouds: Unlimited

sysvinit features and specs

No features have been listed yet.

Segments.ai videos

+ Add

3D point cloud labeling platform for autonomous vehicles and robotics | Segments ai

sysvinit videos

+ Add

openrc vs sysvinit reboot time on Slackware Virtual Machines

Category Popularity

0-100% (relative to Segments.ai and sysvinit)

Segments.ai

sysvinit

Image Annotation
100 100%
Image Annotation
0% 0
Log Management
0 0%
Log Management
100% 100
Data Labeling
100 100%
Data Labeling
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, sysvinit seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Segments.ai mentions (0)

We have not tracked any mentions of Segments.ai yet. Tracking of Segments.ai recommendations started around Mar 2021.

sysvinit mentions (1)

  • Distro balls
    It's a plus because Gentoo fully supports the choice of Systemd or OpenRC. It also has minit, dumb-init, sysvinit, cinit in tree for the more adventurous. No one was calling the AUR bloat, the parent comment just mentions that Gentoo has an equivalent project, GURU. Source: almost 2 years ago

What are some alternatives?

When comparing Segments.ai and sysvinit, you can also consider the following products

Labelbox - Build computer vision products for the real world

systemd - systemd is a replacement for the init daemon for Linux (either System V or BSD-style).

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

runit - runit is a cross-platform Unix init scheme with service supervision, a replacement for sysvinit...

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

s6 - s6 is a small suite of programs for UNIX, designed for process supervision. It can be used as an init system, or as separate supervision components.

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