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Roboflow Changelog: December 2020

Blog post from Roboflow

Post Details
Company
Date Published
Author
Brad Dwyer
Word Count
314
Language
English
Hacker News Points
-
Summary

Roboflow's December 2020 changelog highlights various updates and improvements across its product offerings, including Roboflow Organize, Train, Infer, and Annotate. Key enhancements include the ability to rebalance train/test splits, faster thumbnail generation, and new annotation formats like SuperAnnotate JSON, Kaggle NFL CSV, and PKLot XML. The Roboflow Train feature now provides class-specific test set metrics and supports upcoming on-device inference, while Roboflow Infer has improved speed, reliability, and introduced a video inference script. The company also announced the private beta testing of an on-device offering and imminent wide release of a self-serve labeling tool. Additionally, new industry pages for Agriculture and Safety & Security were launched, along with updates to the enterprise and pricing pages. Roboflow's advancements and contributions were recognized by mentions in Augmented Startups, Machine Learning Monthly, and a citation in Nature.