Perception toolkit for sim2real training and validation in Unity
machine-learning
computer-vision
deep-learning
detection
domain-randomization
object-detection
perception
pose-estimation
segmentation
synthetic-dataset-generation
Обновлено 2024-11-08 22:38:42 +03:00
This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.
natural-language-processing
python3
code-switching
linguistics
synthetic-data-generation
code-mixing
data-generation
language-modeling
Обновлено 2024-07-31 00:01:52 +03:00
Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.
Обновлено 2024-03-30 01:24:26 +03:00
Unity's privacy-preserving human-centric synthetic data generator
unity
unity3d
deep-learning
computer-vision
pose-estimation
object-detection
synthetic-data
perception
synthetic-dataset-generation
billing-5160
synthetic-datasets
applied-ml-research
human-activity-recognition
human-centric-ml
human-pose-estimation
icml-2022
labeling
owner-machine-learning
synthetic-data-generation
transfer-learning
Обновлено 2024-03-05 04:05:37 +03:00
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
machine-learning
python
data-science
ner
synthetic-data
synthetic-data-generation
data-generation
ocr-recognition
synthetic-images
text-alignment
Обновлено 2023-07-20 18:03:32 +03:00
SynthDet - An end-to-end object detection pipeline using synthetic data
machine-learning
deep-learning
computer-vision
pose-estimation
synthetic-data
synthetic-dataset-generation
detection
domain-randomization
object-detection
synthetic-dataset
Обновлено 2023-07-05 23:50:31 +03:00
Synthetic Dataset Insights
Обновлено 2022-09-23 22:35:49 +03:00
Main purpose of this repo is to generate fake data to support demos, tests and sandboxes. This repo contains open source code in python, designed to work inside a Synapse workspace. It is built inside a Synapse notebook which fills all the tables of any industry database model.
Обновлено 2022-06-12 22:11:05 +03:00
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
unity
machine-learning
deep-learning
computer-vision
robotics
manipulation
perception
physics-simulation
pose-estimation
robotics-simulation
simulation
ur3-robot-arm
ros
urdf
motion-planning
synthetic-data
trajectory-generation
tutorial
model-training
autonomy
Обновлено 2022-04-13 20:50:31 +03:00