Pros
- Great customer service
- Super responsive devops staff for implementation assistance
- Excellent pricing structure relative
Cons
- It is hard to say
Lightly Review
4
·
Very good
Rating
4.9
IT Infrastructure, Data Preparation
Description of Lightly
Lightly helps machine learning teams to build better models through better data. It helps to curate unlabelled data to improve its quality for model training.
Analyze the quality and diversity of your datasets. Better understand your data with Lightly's holistic views from the big picture down to the smallest nuances of your data. Uncover class distributions, dataset gaps, and representation biases before labeling to save time and money.
Intelligently select the best samples for model training through advanced filtering and active-learning algorithms. Balance your class distributions, remove redundancies and dataset bias. Label only the best data for model training until you reach your target accuracy.
Manage your dataset. Apply automated labeling. Track different versions, and once your dataset is ready, simply share with labeling with the click of a button.
Pros
- Easy to install
- Free for small teams without many resources
Cons
- Minor Issues
Pros
- Very good documentation.
- Allows quick prototyping before coding proper solution manually
Cons
- Not bad
Pros
- I like how fast the responses are and how easy it is to add new questions to it by just typing a few words!
Cons
- I wish it had more features such as adding calendar events to it so that I can have it remind me when I have a meeting with someone (or just remind me to do something by itself)
