Physicl offers Studio
Product
Studio provides synthetic training data rendered from 3D geometry with scene-derived labels.
Studio provides synthetic training data rendered from 3D geometry with scene-derived labels.
Studio is a synthetic training-data application that renders imagery from 3D geometry: it finds a scene a team describes in words, holds that scene while the team chooses which axes vary and approves the run before anything renders, and produces labels from the scene instead of a labelling queue, with depth, normals and instance IDs exact rather than predicted.
Depth gives distance in metres at every pixel, instance segmentation gives every object its own ID, and 2D boxes come with a class each.
Generative AI platform that produces labeled image datasets for training computer vision models without manual annotators.
Synthetic data platform that generates physically accurate, fully labeled imagery for computer vision model training.
Vision Datasets offers ready-made synthetic datasets for training and evaluating computer-vision models.
Generative AI platform that produces labeled image datasets for training computer vision models without manual annotators.
Synthetic data platform that generates physically accurate, fully labeled imagery for computer vision model training.
Vision Datasets offers ready-made synthetic datasets for training and evaluating computer-vision models.
Synthetic data platform that generates photorealistic labeled images and video for training computer vision models.
syntheticAIdata Developer Platform is a self-service web platform for generating annotated synthetic image datasets for computer vision.
Synthetic data platform that generates photorealistic labeled images and video for training computer vision models.
syntheticAIdata Developer Platform is a self-service web platform for generating annotated synthetic image datasets for computer vision.