Topic: supervisely Goto Github
Some thing interesting about supervisely
Some thing interesting about supervisely
supervisely,Download images from pexels.com
Organization: deepsystems
Home Page: https://supervise.ly/
supervisely,Segment people on images and apply interesting visual effects.
User: elyha7
supervisely,Use your yolov5 predictions as supervisely annotations
User: fcakyon
supervisely,Conversion of Dataset from Darknet Format into Supervisely Format via Python.
User: jinhangzhu
supervisely,Performing Instance Segmentation on X-Ray Images with Mask R-CNN
User: lucifergene
supervisely,This is a simple guide on how to use supervisley!!
User: madannaik
supervisely,PyTorch dataset loader for exported Supervisely annotation format, including an example usage tutorial training Faster-RCNN.
User: markusfox
supervisely,Mask R-CNN for metal casting defects detection and instance segmentation using Keras and TensorFlow.
User: massimilianobiancucci
supervisely,Takes the 'ann' metadata folder of a supervisely dataset and converts all bitmaps to rectangles
User: nassir90
supervisely,Convert supervisely output to COCO keypoint data format
User: seok106
supervisely,Find row in CSV file and attach row data to image (as tags or as metadata)
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/add-properties-to-image-from-csv
supervisely,Supervisely project to YOLOv5 format (downloadable tar archive)
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/convert-supervisely-to-yolov5-format
supervisely,YOLOv5 to Supervisely format
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/convert-yolov5-to-supervisely-format
supervisely,Copy selected tags from images to objects of selected classes
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/copy-image-tags-to-objects
supervisely,Copy images project from one Supervisely Instance to another (including annotations and images metadata).
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/copy-project-between-instances
supervisely,Labeled roads (1000 images)
Organization: supervisely-ecosystem
supervisely,Example images with road scenery without annotations (594 images)
Organization: supervisely-ecosystem
supervisely,Create reference items for catalog from labeled project
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/create-json-with-reference-items
supervisely,App signs up users from CSV file. Available only for users with admin permissions or in Enterprise Edition
Organization: supervisely-ecosystem
supervisely,Compare and merge two images projects: datasets / images / images metadata / image tags / and annotations
Organization: supervisely-ecosystem
Home Page: https://app.supervise.ly/ecosystem/apps/diff-merge-images-projects
supervisely,Visual diff and merge tool compare projects tags and classes
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/diff-merge-project-meta
supervisely,Export Images metadata from project to json files
Organization: supervisely-ecosystem
supervisely,Export Supervisely to Cityscapes
Organization: supervisely-ecosystem
supervisely,Convert Supervisely to Pascal VOC
Organization: supervisely-ecosystem
supervisely,App allows to extract video frames to images project without labels.
Organization: supervisely-ecosystem
supervisely,Research app to generate synthetic data for detection / segmentation / instance segmentation tasks
Organization: supervisely-ecosystem
supervisely,Reference objects are grouped into batches by columns from CSV catalog
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/group-reference-objects-into-batches
supervisely,Supervisely hello world app - use it as a template for your custom appliation
Organization: supervisely-ecosystem
supervisely,Explore and build ImgAug augmentations with Supervisely
Organization: supervisely-ecosystem
supervisely,import json data to images
Organization: supervisely-ecosystem
supervisely,App downloads videos and then uploads them to Supervisely Storage. Video file has to be in Supervisely's internal storage to provide fast processing speed during labeling.
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/import-videos-by-urls-from-txt
supervisely,Import videos from your cloud storage by copying data or by link
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/import-videos-from-cloud-storage
supervisely,General overview of all labeling jobs in team
Organization: supervisely-ecosystem
Home Page: https://supervise.ly/
supervisely,6 images with annotated lemons and kiwifruits
Organization: supervisely-ecosystem
supervisely,Example images with lemons and kiwifruits without annotations (6 images)
Organization: supervisely-ecosystem
supervisely,Apps for NN inference in Supervisely
Organization: supervisely-ecosystem
supervisely,Labeled human instances (5711 images)
Organization: supervisely-ecosystem
supervisely,List of all publicly available Supervisely Ecosystem modules
Organization: supervisely-ecosystem
supervisely,Resize images and annotations
Organization: supervisely-ecosystem
supervisely,10 images with labeled road
Organization: supervisely-ecosystem
supervisely,156 images unlabeled images with road scenery
Organization: supervisely-ecosystem
supervisely,Demo project with photos of seeds
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/projects/seeds
supervisely,Converts labeled video project to images
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/turn-video-project-into-images
supervisely,Counts number of objects (instances), their figures, and number of frames that have object of specific class.
Organization: supervisely-ecosystem
Home Page: https://ecosystem.supervise.ly/apps/video-objects-stats-for-every-class
supervisely,🤔Everything you wanted to know about Supervisely
Organization: supervisely
Home Page: https://docs.supervisely.com
supervisely,Prediction of COVID-19 infection with Deep Learning using Chest X-Rays, Performing Instance Segmentation with Mask R-CNN.
User: vedant-s
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