Azure Face API vs. NVIDIA Deep Learning GPU Training System (DIGITS)
A side-by-side comparison based on G2 review data.
| Metric | Azure Face API | NVIDIA Deep Learning GPU Training System (DIGITS) |
|---|---|---|
| Overall rating | 3.8 | 4.5 |
| Review count | 12 | 23 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 9.4 | 8.2 |
| Quality of support | 7.3 | 8.1 |
| Meets requirements | 8.1 | 8.3 |
| NPS | 8.333333 | 72.727273 |
| Small Business | 66.7% | 52.2% |
| Mid-Market | 16.7% | 34.8% |
| Enterprise | 16.7% | 13.0% |
| Total page views | 99 | 146 |
| Total LLM citations | 1,489 | 126 |
Azure Face API
Azure Face API uses state-of-the-art cloud-based face algorithms to detect and recognize human faces in images.Its capabilities include features like face detection, face verification, and face grouping to organize faces into groups based on their visual similarity.
NVIDIA Deep Learning GPU Training System (DIGITS)
NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.