---
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