Segments.ai VS Inbound

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

Flagsmith

Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured

Contents:

» Base Details
» Videos
» Reviews
» Alternatives

Segments.ai

Multi-sensor labeling platform for robotics and autonomous driving

Inbound

Inbound email is messy but it doesn't have to be

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

Landing page //
2022-01-04

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
Categories: #Data Labeling #Image Annotation #Machine Learning Tools #Semantic Segmentation #Data Science And Machine Learning #Machine Learning #Data Cleansing #AI

Edit details

Inbound

Website: inbound.to
Pricing URL: Official Inbound Pricing
$ Details: -
Platforms: -
Release Date: -
Categories: #Small And Medium Businesses #Developer Tools #Startups #SaaS

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