| --- |
| license: other |
| task_categories: |
| - image-classification |
| - zero-shot-image-classification |
| tags: |
| - face-recognition |
| - face-verification |
| - cross-pose |
| - cplfw |
| - imagefolder |
| pretty_name: CPLFW HF-ready |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CPLFW HF-ready |
|
|
| This folder packages the local CPLFW (Cross-Pose LFW) aligned images as a Hugging |
| Face `imagefolder` dataset with a verification-pairs CSV. |
|
|
| ## Layout |
|
|
| ``` |
| cplfw/ |
| ├── README.md |
| ├── pairs.csv |
| └── train/ |
| ├── images/<shard>/<file>.jpg |
| └── metadata.csv |
| ``` |
|
|
| ## metadata.csv columns |
|
|
| - `file_name`: relative image path used by `ImageFolder`, e.g. `images/000/AJ_Cook_1.jpg`. |
| - `label`: numeric identity label. |
| - `label_name` / `identity`: identity name. |
| - `image_num`: per-identity image index from the original filename. |
| - `source_filename`: original CPLFW filename. |
|
|
| ## pairs.csv columns |
|
|
| `pairs.csv` mirrors `pairs_CPLFW.txt` (6000 verification pairs; 3000 same-identity |
| cross-pose positives and 3000 negatives, split into 10 folds of 600 pairs each |
| following the LFW convention). |
|
|
| - `pair_id` (0..5999), `fold_id` (1..10), `fold_position` (0..299). |
| - `is_same`: 1 for positive pairs, 0 for negatives. |
| - `image_a`, `image_b`: bare filenames as in the upstream pairs file. |
| - `image_a_path`, `image_b_path`: paths under the `train` split. |
|
|
| ## Local Stats |
|
|
| - Images: 11648 |
| - Unique identities: 3929 |
| - Identities with one image: 21 |
| - Verification pairs: 6000 (3000 positive / 3000 negative) |
| - Folds: 10 x 600 pairs |
|
|
| ## Skipped upstream files |
|
|
| These four upstream files have malformed names (typos like `_3jpg.jpg`, `.jip.jpg`, |
| or `-` instead of `_`). They are not referenced by any verification pair, so the |
| benchmark is unaffected. |
|
|
| - `Landon_Donovan_3jpg.jpg` |
| - `Leni_Bjorklund-2.jpg` |
| - `Leni_Bjorklund-3.jpg` |
| - `Mike_Montgomery_3.jip.jpg` |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("imagefolder", data_dir="data/evaluation/huggingface/cplfw") |
| train = ds["train"] |
| ``` |
|
|
| ```python |
| import pandas as pd |
| |
| pairs = pd.read_csv("data/evaluation/huggingface/cplfw/pairs.csv") |
| ``` |
|
|
| ## Notes |
|
|
| CPLFW (Cross-Pose LFW) is described by its authors as a verification benchmark |
| emphasizing pose variation between the two faces in each positive pair. Check the |
| original dataset terms before publishing or redistributing it. |
|
|
