A good starting point for anyone exploring face recognition training data is this curated list of free facial recognition datasets.
It includes well-known datasets like LFW, VGGFace2, CelebA, and others that are useful for experimentation, benchmarking, and model evaluation. The resource also points out options for accessing more advanced or large-scale datasets if your project requires higher diversity, tighter control, or specialized annotations.
Thanks for sharing this — it’s a solid starting point for anyone getting into face recognition research. Datasets like LFW, CelebA, and VGGFace2 are great for building intuition around preprocessing, embeddings, and evaluation before moving on to more complex or large-scale collections.
A quick reminder for newcomers: always double-check the licensing and ethical use guidelines for each dataset, especially when working with facial data. Some allow academic use only, while others have restrictions on commercial or derivative applications.
If you’re exploring training pipelines or model selection for these datasets, feel free to ask — happy to help point you in the right direction.