supervisely

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Labeled human instances (5711 images)

Mask R-CNN for metal casting defects detection and instance segmentation using Keras and TensorFlow.

🤔Everything you wanted to know about Supervisely

List of all publicly available Supervisely Ecosystem modules

Use your yolov5 predictions as supervisely annotations

App allows to extract video frames to images project without labels.

PyTorch dataset loader for exported Supervisely annotation format, including an example usage tutorial training Faster-RCNN.

Segment people on images and apply interesting visual effects.

Compare and merge two images projects: datasets / images / images metadata / image tags / and annotations

Copy selected tags from images to objects of selected classes

YOLOv5 to Supervisely format

Example images with road scenery without annotations (594 images)

Performing Instance Segmentation on X-Ray Images with Mask R-CNN

This is a simple guide on how to use supervisley!!

Conversion of Dataset from Darknet Format into Supervisely Format via Python.

Explore and build ImgAug augmentations with Supervisely

Convert supervisely output to COCO keypoint data format

Find row in CSV file and attach row data to image (as tags or as metadata)

Prediction of COVID-19 infection with Deep Learning using Chest X-Rays, Performing Instance Segmentation with Mask R-CNN.