All content for instance segmentation

Development User documentation

Image Transformations

This page describes how to build image transformations for test time deployment of your exported models. To maintain the expected performance of your …

Development User documentation

Import annotations

Go here if you are looking for how to upload images. Here, you can upload annotations that you already have created in other annotation tools, or …

Development User documentation

Importing annotations

Contents Hasty support an import of existing annotations of the following types: bbox - Bounding boxes (as a JSON file) polygon - Polygons (as a JSON …

Development User documentation

Individual experiment overview

Detailed overview of running an experiment and seeing its results. After creating an experiment with all model parameters, the user now can run the …

Development User documentation

Instance Segmentation

Instance Segmentation dashboard Widgets GPU Consumption Running time Inference time Average Loss VS Number of Iterations mAP VS Number of Iterations …

Deploy User documentation

Instance Segmentation

Sample inference script for torchscript exported instance segmentation model Mask RCNN code example import torch import numpy as np from PIL import …

Development User documentation

Instance Segmentation Assistant

This assistant will help you with finding, creating, and labeling shapes and offers an exponentially quicker way of preparing data for instance …

Deploy Development MP Wiki

Instance Segmentor

Instance segmentors combine the advantages of semantic segmentors and object detectors . On the one hand, they are able to predict pixel-perfect …

Development User documentation

Introduction to the annotation environment

If you have used graphical editing tools or other annotation tools, our annotating environment should be familiar. For newcomers or users that wonder …

Development User documentation

Introduction to workspaces

Workspaces are spaces that allow you to collect all projects in one place, control access to them on a higher level, and slim down the work needed …

Development Deploy MP Wiki

Iterations

Iterations are the number of steps through batches of the training data needed to complete one epoch. For better understanding, consider the …

All stages Event

Machine learning IRL

Everyone is talking about applying ML to real-world use cases, but there’s very little sharing between teams actually doing the implementation. We …

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Hasty.ai helped us improve our ML workflow by 40%, which is fantastic. It reduced our overall investment by 90% to get high-quality annotations and an initial model.