DagsHub
DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflows, and evaluate models. Enterprises with sensitive data, can run on their own infrastructure on-prem and get a full AI platform. Data curation - create the very best datasets. Data annotation - annotate your vision, audio, and document data. Auto labeling - automate your annotation flow with pre-built templates and active learning. Data versioning - version your datasets for reproducibility. Experiment tracking - track your experiment progress, understand trends, and compare results. Model registry - manage your models and deployments in one place. The top data scientists build AI with DagsHub including teams at: Google, Harvard Medicine, Beewise, Macso, and Mana.bio
Average Rating: 4.8/5.0
Total Reviews: 14
How Do G2 Users Rate DagsHub?
- Object Detection: 10.0/10 (Category avg: 8.8/10)
- Ease of Use: 9.2/10 (Category avg: 8.8/10)
- Custom Image Detection: 6.7/10 (Category avg: 8.5/10)
- Bounding Boxes: 8.3/10 (Category avg: 8.3/10)
Who Is the Company Behind DagsHub?
- Seller: DagsHub
- HQ Location: San Francisco, US
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LinkedIn® Page: www.linkedin.com
12 employees on LinkedIn®
Who Uses This Product?
- Top Industries: Computer Software
- Company Size: 50% Small, 43% Medium
What Do G2 Reviewers Say About DagsHub?
AI-generated summary from verified user reviews
Pros
- Users value the effective data management of DagsHub, enhancing reproducibility and collaboration in ML projects.
- Users appreciate the seamless integration of data, code, and experiments in DagsHub, boosting their productivity and collaboration.
- Users value the seamless collaboration DagsHub facilitates, enhancing team efficiency in managing data and experiments.
- Users value the seamless data and experiment integration of DagsHub, enhancing reproducibility and collaboration in ML projects.
- Users value the integrated platform of DagsHub for streamlining data management, experimentation, and model tracking efficiently.
Cons
- Users find limited functionality in DagsHub, particularly in team capacity and model extension options.
- Users often experience error handling issues on DagsHub, particularly when pushing files or loading projects.
- Users find DagsHub to be expensive due to strict limitations on the free plan and inaccessible academic options.
- Users find the limited customization in DagsHub restrictive, particularly with the constraints of the free plan.
- Users find the strict limitations of the free plan restrictive, impacting team collaboration and accessibility.
What Are Recent G2 Reviews of DagsHub?
"Reliable Infrastructure for LLM Data and Model Iteration"
Rating: 5.0/5.0 stars
— Ignacio P.
"Simplifies LLM Dataset Versioning and Experiment Tracking"
Rating: 5.0/5.0 stars
— Gourav B.
