Keymakr, Inc
| Privately held company | |
| ISIN | 🆔 |
| Industry | Data annotation services |
| Founded 📆 | 2015 in Holon, Israel |
| Founder 👔 | Arie Zilberman, Michael Seldin, Edi Bronstein |
| Headquarters 🏙️ | New York, New York , United States |
Area served 🗺️ | |
| Products 📟 | Keylabs |
| Members | |
Number of employees | 500+ |
| 🌐 Website | [Lua error in Module:WikidataIB at line 665: attempt to index field 'wikibase' (a nil value). ] |
| 📇 Address | |
| 📞 telephone | |
Keymakr, Inc is an Israeli company with headquarters in New York, NY. The company provides image and video annotation services, and works on training datasets for computer vision and AI models.:[1] The company uses Keylabs, a proprietary annotation tool and has an in-house team of data annotators.
History
Keymakr was founded in 2015 in Holon, Israel by Arie Zilberman, Michael Seldin, and Edi Bronstein.
The company consisted of 10 people. By 2020 Keymakr had grown into a company with 500+ employees.[2]
Operations
Keymakr developed Keylabs, a proprietary image and video annotation tool. The company uses it to annotate image and video data.
Keymakr provides the following services[3]
- Image annotation and labeling. Annotators use bounding boxes, lines, points, and polygons to label image data. All images undergo 4 layers of quality control.[4]
- Video annotation and labeling. Annotators use bounding boxes, lines, points, and polygons to label objects in individual frames of the video. All videos undergo 4 layers of quality control.
- Data creation. Keymakr creates image and video data in the production studio or searches for open source data on demand.
Industries
Keymakr produces annotated training data for AI models created for the following industries[5]
- Security: Data for AI security cameras that can track individuals and objects
- Automotive: Training visuals that can be used for self-driving cars
- Drones: Labeled video and image data for aerial observation
- Retail: Data for AI applications and facial recognition
- Healthcare: MRI scan images that are labeled by medical experts to train Healthcare AI
- Agriculture: Training data that can help AI models recognise and track produce and livestock
- Robotics: Annotating images and video footage from the factory floor to train manufacturing AI
- Waste Management: Annotated images that allow AI models to distinguish between types of waste
- Sports: Skeletal annotations to track athlete body movements and analyze performance
- Fashion: Labeled images allow for use cases such as virtual wardrobe
References
- ↑ "Data Labeling in Machine Learning: Process, Types, and Best Practices". AltexSoft. Retrieved 2022-03-03.
- ↑ "About Us". Keymakr. Retrieved 2022-03-03.
- ↑ "Annotation Services | Keymakr". keymakr.com. Retrieved 2022-03-03.
- ↑ OrHillel (2020-07-22). "8 Most-Used Data Science and Machine Learning Services for 2020 - DataScienceCentral.com". Data Science Central. Retrieved 2022-03-03.
- ↑ "High quality training datasets for computer vision AI". Automate. Retrieved 2022-03-03.
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