afro-chai/FR-via-SynData-and-TC-2SCFTMORS face recognition datasets Preprocessed benchmark trees used in Face Recognition via Synthetic Data and Turbocharged Two Stage Contrastive Fine Tuning (MORS 2026). Code & supplementary figures: GitHub — FR via SynData and TC 2SCFT Each folder is a complete mirror of the local benchmark tree used in our experiments: training images (originals + synthetics), official test/eval splits, protocol .mat files, and feature caches where present. Nothing is stripped for upload. Repository layout Path Benchmark Contents tinyface/ TinyFace Full preprocessed tree (~2 GB) QMUL/ QMUL SurvFace Full preprocessed tree (~20 GB) xqlfw4mors testsplit/ XQ LFW testsplit v2 Paper 80/20 split (~1.1 GB) checkpoints/ Pretrained backbone inception resnet v1 vggface2 raw.pt (~107 MB) tinyface/ — complete tree Training Set/ — per ID folders with originals + mods 1–5 synthetics Testing Set/ — Gallery Match/ , Gallery Distractor/ , Probe/ images + protocol .mat pair files Face Identification Evaluation/ — eval protocol .mat files and features/ cache features/ — additional gallery/probe/distractor .mat feature blocks readme.txt — official TinyFace notes QMUL/ — complete tree training set/ — per ID folders with…

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