Label-studio

Introducing Time Series data labeling for classification, segmentation, forecasting, outlier/anomaly detection, and many more!

Read more on our introductory [blog post](https://labelstud.io/blog/release-080-time-series-labeling.html). Play with predefined templates on `/setup` page. Import your data from CSV, TSV or JSON formatted files.


<img src="https://labelstud.io/images/release-080/ui.gif" width="600">

**Features**
- Multiple projects support and project sharing for multi-session mode (ktl014)

**Improvements**
- Now you can set `s3://`-like URLs in your tasks and they are going to be resolved as Presigned URLs according to the connected S3 storage
- Specify AWS S3 bucket region within cloud storage settings UI
- Drag-n-drop data folder to import your images, audios, etc. from local file storage
- Docs updates

We put a big effort to rewrite some parts of the labeling engine for easier and better work with results, deserialization, an inner structure and so on. That led us to faster initialization (but we have a lot of space for improvements), more predictable regions operations, more stable per-region labeling, non-breaking region removal.

**Features**
* Relations visualizations
* Nested labeling improvements
* Granularity fixes - now you can enable granularity per label
* New deserialization mechanics for LSF
* LSF faster initialization,
* More predictable regions operations
* More stable per-region labeling
* Non-breaking region removal

**Improvements**
- Show errors about content loading and CORS problems
- Detailed logs from ML backend on ML page
- Task navigation improvements with hotkeys on the tasks page
- Minimum formatting of completed_at (TTouka)
- Maintain ordering in source.json and task.json for sequential sampling (theconsummatedhruv)
- Move external fonts to LS
- Improving documentation clarity and readability
- Add ML predictions on the tasks page
- Table tag support on import and its example
- Previews for audio and texts on the tasks page
- Don't keep premade predictions in completion + Keep premade predictions if we can't get fresh (hepaajan)
- Support hostname environment variable to docker
- COCO export support for segmentation (vkhizanov)

**Fixes**
- Fixed dates in non-Chromium browsers
- Don't stretch out text object with long lines
- Don't save broken regions (polygons, brushes)
- Fixed per-region audio labeling with predictions
- Update s3 signature version to s3v4 to support more AWS regions (wdvr)
- Fixes for task validation in cloud storages
- Update pip and six packages to avoid fails while LS install
- Fix storage paths with trailing slashes
- Fix Project.next_task to sort task IDs for "sequential" sampling (k4200)

**Contributors**
john-sandall wdvr jeannefukumaru TTouka theconsummate kathoum
k4200 hepaajan vkhizanov

**Features**
* quickview for task page
* WSGIServer support by k4200
* https with ssl support by abduhbm
* project setup api added
* brush RLE converter for export (label-studio-converters module)

**Improvements**
* significant speed up of task importing with lightforever
* significant speed up of next task & tasks page

**Fixes**
* correct ordering for skip
* relative url links for pages and api
* encoding fixes
* allow one label in labeling config validation
* misspelling errors fixes by Necmttn
* ML backend loads previously trained model before starting the new one

**Label Studio Frontend**
* we released BrushLabels a while ago, but they were not ready for production use and had some harmful problems. So now they are all fixed. Now they are stable after submit or resize and won't lose your labeling.
* fixed problems with completions created from predictions — they won't break the app from now.
* clickable href links
* previously we used to disable all links in your HyperText documents to protect you from leaving the labeling suddenly. But now if you really need to follow these links you can use <HyperText clickableLinks=“true”>. Anyway all links will open by ctrl/cmd+click.
* now you can hide regions for easier labeling if you have them a lot. Just use the eye button in regions list. Works only for images.
* other minor bugs

**Contributors**
lightforever k4200 RasmusEdvardsen abduhbm hepaajan

**Features**:

* Tree-like view of regions for grouping and better semantic organization. Also overall appearance of regions and relations are improved.
* Choices `layout="select"` for huge lists of choices; filtering included.
* New `rotatecontrol="yes"` added to rotate all the canvas instead of your head while trying to get the whole picture.
* display skipped completions in task manager
* implementation of tests
* prev/next buttons for label stream
* https://github.com/heartexlabs/label-studio/issues/288 (html upload as files)
* generate signed URLs on GCE instance (326)
* relative path to js static
* image previews in tasks (if label config contains images)
* basic auth with username and password

**Fixes**:

* fix with Text and Header floats in import tasks
* fix uri resolver on s3 with custom credentials passed
* https://github.com/heartexlabs/label-studio/issues/330
* https://github.com/heartexlabs/label-studio/issues/329
* ML backend with locally served images
* Weird bugs on zoomed images are fixed: moving, resizing, polygon modification — they all are good finally.
* Also creation of new regions works well on the edge of the image now.
* Almost all warnings and errors are fixed, so your console won't be flooded.
* Other issues were fixed as well, especially related to NER.

- Storage & bucket selector in runtime via UI
- Fixed RQ jobs & docker compose version of ML backend
- Pagination and ordering in tasks API
- Examples with embedded PDF/Website labeling
- Fixed drag-n-drop file upload
- More fixes for overlapping spans - creation, selecting, correct deserialisation and relations

Fixed Issues:
- Empty completions from target cloud storage
- Launching ML backend from docker-compose
- Unsynchronized completion id with task id
- "undefined" popup with error