gaunernst/ms1mv3-recordio
MS-Celeb-1M (v3) This dataset is introduced in the Lightweight Face Recognition Challenge at ICCV 2019. Paper. There are 5,179,510 images and 93,431 ids. All images are aligned based on facial landmarks predicted by RetinaFace and resized to 112x112. This was downloaded from https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_ (MS1M-RetinaFace). The dataset is stored in MXNet RecordIO format. Usage import io import numpy as np from PIL… See the full description on the dataset page: https://huggingface.co/datasets/gaunernst/ms1mv3-recordio.
| Author / organization | gaunernst |
|---|---|
| Downloads | 383 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 April 2024 |
| Last updated at source | 6 January 2025 |
Popularity, last 3 days
383 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- gaunernst/vit_tiny_patch8_112.arcface_ms1mv3Model · used to train
- gaunernst/vit_tiny_patch8_112.cosface_ms1mv3Model · used to train
- gaunernst/vit_small_patch8_gap_112.cosface_ms1mv3Model · used to train
- gaunernst/convnext_nano.cosface_ms1mv3Model · used to train
- gaunernst/vit_tiny_patch8_112.adaface_ms1mv3Model · used to train
Recent changes
- 16 Oct 2026 Description: MS-Celeb-1M (v3) This dataset is introduced in the Lightweight Face Recognition Challenge at ICCV 2019. Paper. There are 5,179,510 images and 93,431 ids. All images are aligned based on facial landmarks predicted by RetinaFace and resized t → MS-Celeb-1M (v3) This dataset is introduced in the Lightweight Face Recognition Challenge at ICCV 2019. Paper. There are 5,179,510 images and 93,431 ids. All images are aligned based on facial landmarks predicted by RetinaFace and resized t
Changes detected by Silytics between refreshes of the source.
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