Description
Research various state-of-the-art face recognition models that generate face embeddings. The objective is to compare their performance in terms of accuracy, embedding size, computational complexity, and scalability for integration into a large-scale face recognition system.
Tasks
[x] Research models that do face embedding generation
[x] Tabulate key metrics for each of the models
[x] Prepare a comparison table
Deliverable
A comparison table summarizing the performance of various face recognition models, along with recommendations for the best-suited model for large-scale systems.
Description Research various state-of-the-art face recognition models that generate face embeddings. The objective is to compare their performance in terms of accuracy, embedding size, computational complexity, and scalability for integration into a large-scale face recognition system.
Tasks
Deliverable A comparison table summarizing the performance of various face recognition models, along with recommendations for the best-suited model for large-scale systems.