# Anime Gender Classification — Data

来源：https://www.kaggle.com/competitions/anime-gender-classification/data

采集时间：2026-10-19T08:50:11Z

Anime Image Gender Classification Dataset (AI-Generated)
📌 Overview

This dataset is designed for binary gender classification on anime-style character images.
The task is to classify each image into one of two categories:

0 → Masculine

1 → Feminine

All images in this dataset are AI-generated anime-style images, created for research and educational purposes. No real human subjects are involved.

🖼️ Image Characteristics

Style: Anime / illustrated characters

Source: AI-generated (synthetic images)

Content: Single-character portraits

File format: .jpg

Resolution: Varies (as generated)

⚠️ Since the images are AI-generated, the dataset does not represent real individuals and should not be used to infer real-world gender identity.

🗂️ Dataset Structure
```javascript
dataset/
├── train_images/              # Training images
├── val_images/                # Validation images
├── test_images/               # Test images (no labels provided)
│
├── train.csv                  # Training labels
├── val.csv                    # Validation labels
├── test.csv                   # Test image identifiers
├── submission_template.csv    # Submission format
```javascript
📄 CSV File Descriptions
train.csv

Contains image IDs and corresponding gender labels for training.
```javascript
id,label
img_000001.jpg,1
img_000002.jpg,0
```javascript

id: Image filename

label: Gender class
```javascript
0 → Masculine

1 → Feminine
```javascript

val.csv

Used for validation during model development.
Format is identical to train.csv.

test.csv

Contains only image identifiers.
Labels are not provided and must be predicted by participants.
```javascript
id
img_000123.jpg
img_000456.jpg
```javascript
submission_template.csv

Defines the required submission format.
```javascript
id,label
img_000123.jpg,0
img_000456.jpg,1
```javascript
🎯 Task Objective

Given an anime-style character image, build a model that predicts the gender category (Masculine or Feminine).

This dataset is suitable for:

Image classification

Computer vision benchmarking

Deep learning experiments

CNN / Vision Transformer evaluation

Fairness and bias analysis in synthetic data

🔐 Anonymization & Fairness

Image filenames have been anonymized to remove semantic clues.

Test set ordering is randomized to prevent label leakage.

The dataset is intentionally designed to avoid direct visual or filename-based shortcuts.

⚠️ Ethical Considerations

Images are synthetic and AI-generated

Labels reflect visual gender presentation, not gender identity

Dataset should not be used for real-world gender inference

📚 Intended Use

✔ Academic research
✔ Educational projects
✔ Model benchmarking
✔ Kaggle-style competitions

❌ Real-world biometric or identity analysis