| HumanSignal/label-studio |
26,994 |
|
0 |
3 |
5 days ago |
183 |
December 08, 2023 |
752 |
apache-2.0 |
TypeScript |
| Label Studio is a multi-type data labeling and annotation tool with standardized output format |
| labelmeai/labelme |
11,788 |
|
0 |
0 |
about 2 years ago |
0 |
|
99 |
other |
Python |
| Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation). |
| opencv/cvat |
10,831 |
|
0 |
3 |
about 2 years ago |
23 |
November 27, 2023 |
504 |
mit |
TypeScript |
| Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. |
| HumanSignal/awesome-data-labeling |
4,285 |
|
0 |
0 |
almost 2 years ago |
0 |
|
53 |
|
|
| A curated list of awesome data labeling tools |
| microsoft/VoTT |
4,173 |
|
0 |
2 |
over 4 years ago |
5 |
March 18, 2017 |
248 |
mit |
TypeScript |
| Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. |
| SkalskiP/make-sense |
2,854 |
|
0 |
0 |
about 2 years ago |
2 |
April 30, 2021 |
95 |
gpl-3.0 |
TypeScript |
| Free to use online tool for labelling photos. https://makesense.ai |
| diffgram/diffgram |
1,772 |
|
0 |
0 |
about 2 years ago |
0 |
|
473 |
other |
Python |
| The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data. |
| jsbroks/coco-annotator |
1,743 |
|
0 |
0 |
over 3 years ago |
0 |
|
216 |
mit |
Vue |
| :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints |
| UniversalDataTool/universal-data-tool |
1,612 |
|
0 |
0 |
almost 4 years ago |
0 |
|
173 |
mit |
JavaScript |
| Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app. |
| autodistill/autodistill |
1,286 |
|
0 |
31 |
about 2 years ago |
24 |
December 01, 2023 |
28 |
apache-2.0 |
Python |
| Images to inference with no labeling (use foundation models to train supervised models) |
