Showing 9 of 9 projects
An industry-leading open-source data engine for interactive video and image annotation to power machine learning.
A Python library for augmenting images and associated data (heatmaps, keypoints, bounding boxes) for machine learning projects.
A Python library for programmatically building and managing training data using weak supervision.
A large-scale dataset of images with object segmentation, bounding boxes, and visual relationship annotations.
A procedural Blender pipeline for generating photorealistic training images for computer vision and machine learning.
A Python package for generating synthetic tabular and time-series data using state-of-the-art generative models like GANs and Gaussian Mixtures.
Ruby gem providing bindings to FANN (Fast Artificial Neural Network) for building and training neural networks.
A Docker-based image annotation tool for bounding box labeling with auto-labeling support, designed for deep learning training.
A freely usable dataset of over 5,000 labeled clothing images across 20 categories for machine learning projects.
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