Labelbox
Labelbox is a platform for AI/ML Data. “The data engine for AI”. Data curation, AI-assisted labeling, model training & diagnostics, and labeling services, all in one platform, to build better AI products.
Labelbox is a competitor to Diffgram.
Address: Parking lot, 510 Treat Ave, San Francisco, CA 94110. A Software company in San Francisco, California.
Labelbox Annotate
This is a data labeling tool covering:
- Image
- Video
- Text
- Document
- Audio
- Medical
- Geospatial
- Custom
According to Labelbox, it is: “Designed to give you complete visibility and control of every aspect of your labeling operations, … gives you the right annotation solution for every task”
Compare to Diffgram Annotate.
Labelbox Crunchbase & Funding
According to crunchbase: it’s a collaborative data training platform that creates and manages labeled data for machine learning applications.
Number of Funding Rounds 6Total Funding Amount $188.9M
| Jan 6, 2022 | Series D | 6 | $110M | SoftBank Vision Fund |
| Feb 11, 2021 | Series C | 7 | $40M | B Capital Group |
| Dec 8, 2020 | Venture Round | 1 | — | In-Q-Tel |
| Feb 4, 2020 | Series B | 4 | $25M | Andreessen Horowitz |
| Apr 9, 2019 | Series A | 4 | $10M | Gradient Ventures |
| Jul 30, 2018 | Seed Round | 3 | $3.9M | Kleiner Perkins |
Glassdoor
Overall rating of 4.0 out of 5, based on over 45 reviews left anonymously by employees. 74% of employees would recommend. Previously had a rating of 3.5 out of 5.
Interviews at Labelbox, 50% had a Negative experience.
- 50% Negative
- 25% Neutral
- 25% Positive
Labelbox Blind
Example review of 2/5 stars.
Docs
Access Labelbox Docs here.
Docs cover:
Import data from any source and annotate the data types you need including images, video, text, documents, audio, medical imagery, and tiled imagery/geospatial data.
Catalog
Catalog allows you to visualize and search for your raw unlabeled data, metadata, labeled ground truth, and model inferences in one place. No need to waste time and resources building and maintaining infrastructure just to view your data.
You can use Catalog to search for labeled and unlabeled data using filters for metadata, model inferences, and other attributes. Send this batch of data directly to a labeling project in just a few clicks.
Similar to Diffgram Catalog
Annotate
Import data from any source and annotate the data types you need including images, video, text, documents, audio, medical imagery, and tiled imagery/geospatial data.
Similar to Diffgram Annotate
GETTING STARTED
API & SDK
PLATFORM
SCHEMA
MODEL
STORAGE & SECURITY
CUSTOMER-MANAGED INFRA
Labelbox Linkedin
A complete solution for taking control of your training data with fast labeling tools, human workforce, data management, a powerful API
Labelbox Sign In
Labelbox Compared to Diffgram
Labelbox and Diffgram highlights some key considerations for enterprise software executives. This is for Training Data (Data Labeling, Annotation) for unstructured data.
Differences
The three major differences are:
- Development System
- Standards
- Business Model
Diffgram is the standard for commercial Open Source training data. If there’s one thing to remember about Diffgram, it’s Standards.
With Diffgram, you are investing in a growing Standard. In something people list as a known skillset, a known standard technology. A standard that is inter-operable between small and large enterprises. A standard between teams at your company. A standard that is community validated, language agnostic, and open.
Try Diffgram Today.
The Open Source Data Annotation Tool For All Training Data.
Leverage Diffgram Unlimited
From annotations to automations, Diffgram’s Unlimited model aims to deliver a truly Unlimited experience.
Learn more about Diffgram
Catalog
Explore, Discovery, and Use your Unstructured Data
Search and visualize all of your unstructured data in one place. All your data, metadata, labels, and predictions at your fingertips you can make better decisions to unblock your AI initiatives.
Workflow
Unlock an ecosystem of tools. Surface your training data processes. Take your training to the next level.