Edgecase.ai VS Segments.ai

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

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Edgecase.ai

Edgecase.ai offers a full suite of services and software for data annotation, synthetic data and AI services. From dedicated professionals, to medical professionals, agronomists and other sectors.

Segments.ai

Multi-sensor labeling platform for robotics and autonomous driving

Landing page //
2023-02-13

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

Edgecase.ai

Website: edgecase.ai
Pricing URL: -
$ Details: -
Platforms: -
Release Date: -
Categories: #AI #Data Science And Machine Learning #Data Labeling #Development

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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

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Edgecase.ai features and specs

No features have been listed yet.

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