There are 0 repository under labelling topic.
Inference Code for Polygon-RNN++ (CVPR 2018)
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
Computer vision based ML training data generation tool :rocket:
RectLabel is an offline image annotation tool for object detection and segmentation.
Open Source Data Annotation & Labeling Tools
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
:fire: One of the most comprehensive open-source data annotation platform.
🤖 A Github bot to automatically label PRs, issues and perform all the boring operations that you don't want to do.
A demo to test Custom Labels with models trained by Amazon Rekognition
PyTorch code for Deep Extreme Level Set Evolution (CVPR 2019)
Topic Inference with Zeroshot models
An interactive dashboard for visualisation, integration and classification of data using Active Learning.
A collaborative tool for labeling image data for yolo
Animal Detection in Man-made Environments using Deep Learning
A pre labelled dataset for ui element / layout detection
An example repo for how PU Bagging and TSA works.
A python package for interaction with time series data.
Use this tool to label forms, bounding boxes, and assigning types to annotations
This is a labeling tool for Challenging Events for Person Detection from Overhead Fisheye Images (CEPDOF) fisheye dataset.
Annotation Tool for Instance Segmentation of Grid Structures
Semi-automatic detection, tracking and labelling of active targets for autonomous driving.
Helper scripts to split a large audio file into smaller chunks and annotate these chunks
Automatic Labelling for Omnivore on AWS
Used LSTM in Big Data Challenge competiton hosted by Shaastra IIT Madras. Won the second prize
Annotation Tool for Instance Segmentation of Grid Structures (deprecated in favour of Grid Annotation Tool 2)
This tool provides end to end support for generating datasets and validating object detection models from video and image assets. The generated output data would be further the input into the CNTK.
Named Entity Extraction with OpenCV, Pytesseract, Spacy (OCR + NER), BIO Labelling