Roboflow Changelog: December 2020
Brad DwyerPublished Dec 4, 2020
Welcome to the first of our monthly changelogs, where we will be cataloging our recent feature additions and improvements.
Roboflow Organize
- Added ability to rebalance train/test split
- Clarified pro plan features in-app
- Sped up thumbnail generation
- Added image upload by URL to the upload API
- Paginated the image listing pages
- New annotation format: SuperAnnotate JSON (type 2)
- New annotation format: Kaggle NFL CSV
- New annotation format: PKLot XML
- Sped up cold-start time of all cloud functions by pruning dependencies
- Fixed 31 tracked issues
- Surfaced test set metrics by class
- Validated train/test splits
- Added support for upcoming on-device inference feature
- Onboarded >100 new beta testers (reach out if interested)
- Added error handling for corrupt images
- Improved speed when loading large datasets
Roboflow Infer
- Speed improvements
- Improved usage tracking
- Created video inference script
- Improved reliability
- Outputted images now visualize boxes on the original (not preprocessed) input
- Released a sample web app
- Rigorous load testing
- On-device offering in private beta testing (reach out if interested)
We've been quietly beta testing our new self-serve labeling tool with a select group of users. Wide release is imminent! Stay tuned.
Other
- Launched Agriculture and Safety & Security industry pages
- New enterprise page
- Updated pricing page to be more clear
- Mentions from Augmented Startups and Machine Learning Monthly
- Cited in Nature
- 6 new public datasets
- 13 new computer vision blog posts
- 9 new computer vision videos
