Datasets:
| license: mit | |
| task_categories: | |
| - image-classification | |
| tags: | |
| - face-recognition | |
| - biometrics | |
| - image-compression | |
| pretty_name: 1 kB Face - aligned verification crops (IJCB 2026) | |
| # Aligned face crops for *Face Recognition at One Kilobyte* (IJCB 2026) | |
| Aligned face crops used by the IJCB 2026 paper *Face Recognition at One | |
| Kilobyte: Evaluating Image Compression Algorithms for Barcode-Constrained | |
| Biometric Verification*. Derived from the MIT-licensed | |
| [AI-Solutions-KK/face_recognition_dataset][source] (105 identities, | |
| 17,534 images) by face detection with a proprietary detector followed by | |
| ArcFace-style five-landmark alignment. Both crop resolutions (112 and 224 | |
| pixels) live in a single split; the `resolution` column distinguishes them. | |
| [source]: https://huggingface.co/datasets/AI-Solutions-KK/face_recognition_dataset | |
| Each record: `image` (PNG crop), `identity` (105 unique labels), | |
| `file_name` (source-relative name defining the canonical evaluation | |
| ordering), `resolution` (112 or 224). | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("Cha53c/1kb-face-aligned", split="train") | |
| ds_112 = ds.filter(lambda r: r == 112, input_columns="resolution") | |
| ``` | |
| Replication code: https://github.com/innovatrics/1kb_face_ijcb | |