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DLGenAI Age & Gender Prediction Dataset
This dataset hosts the fine-tuned ResNet18 model weights for the DLGenAI Project – Age and Gender Prediction task.
It was trained on a dataset of facial images to predict two targets:
- Age (regression)
- Gender (binary classification: 0 = Female, 1 = Male)
Model Details
- Architecture: ResNet18 (pretrained on ImageNet)
- Fine-tuned epochs: 10
- Optimizer: AdamW
- Loss functions: BCEWithLogitsLoss + MSELoss (weighted)
- Final validation loss: ~32.8
- Kaggle Leaderboard Score: ~0.53 (public leaderboard)
Files
resnet18_dualhead.pt– fine-tuned model weights
Usage
You can load the model directly in PyTorch:
from huggingface_hub import hf_hub_download
import torch
ckpt = hf_hub_download("lokeshjadhav/dlgenai-nppe-dataset", "resnet18_dualhead.pt")
model.load_state_dict(torch.load(ckpt, map_location="cpu"))
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