kandi X-RAY | VoTT Summary
kandi X-RAY | VoTT Summary
An open source annotation and labeling tool for image and video assets. VoTT is a React + Redux Web application, written in TypeScript. This project was bootstrapped with Create React App.
Top functions reviewed by kandi - BETA
VoTT Key Features
VoTT Examples and Code Snippets
Trending Discussions on VoTT
I want to go ahead and create a classifier, I and I do not like the Google's Browser Labeling Service. Is there a tool similar to vott or some code, that I can use to go ahead and import my vott labeled data and import it Google AutoML.
The Google Labeling Service looks something like this and is very slow in loading images and inefficient it literally has a white labeling cursor and I have light background in my images
On the Other Hand can I import it using vott which is much more better in every way. So is there a way for me to do this using vott to import the labeled csv into Google's Cloud AutoML.
ANSWERAnswered 2021-Sep-10 at 09:22
I don't think that it is currently possible to import already labeled data from other apps (like VOTT).
At the moment there are 3 ways to label images in Cloud Vision. It's described in the Annotating imported training images
- Provide bounding boxes with labels for your training images via labeled bounding boxes in your .csv import file
CSV file you would need to provide GCS url and label/labels
Assigned to a set: TEST,gs://my-storage-bucket-vcm/flowers/images/img805.jpg,daisy
More details can be found here.
- Provide unannotated images in your .csv import file and use the UI to provide image annotations
Not labeled: gs://my-storage-bucket-vcm/flowers/images/img403.jpg
However, later you will need to label it using UI, otherwise it will be ignored.
AutoML Vision ignores items without a category label.
- Request manual image annotation with Google's Human Labeling service
This option would include human labelers and would need to provide additional information like dataset, label set and instructions for people.
In the documentation you can also find information that currently API is not supporting any method for labeling.
The AutoML API does not currently include methods for labeling.
However, you can propose
Feature Request via IssueTracker to add some additional import methods from different apps or enable the use API.
I have trained a YoloV4 CNN. It's pretty good already. I want more images as training data but there is no point of manually annotate most of the stuff because CNN can do it for me. I could review and re-correct if there are any issues. Is there a image annotation tool/service that can do that? I'm currently using Supervisely. I also tried CVAT and VoTT Couldn't find such feature....
ANSWERAnswered 2020-Dec-06 at 02:36
I created a simple
python project to generate
supervisely project using
darknet. It's available on
No vulnerabilities reported
VoTT is available for Windows, Linux and OSX. Download the appropriate platform package/installer from GitHub Releases. v2 releases will be prefixed by 2.x.
VoTT requires NodeJS (>= 10.x, Dubnium) and NPM. IMPORTANT When running locally with npm, both the electron and the browser versions of the application will start. One major difference is that the electron version can access the local file system.
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