datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Realistic-Face-Portrait-1024px
Realistic-Face-Portrait-1024px
Dataset Summary
Realistic-Face-Portrait-1024px is a high-resolution image dataset containing 6,712 realistic portrait images of male and female individuals. Each image is standardized to 1024×1024 pixels, making it suitable for tasks involving high-fidelity facial analysis, face generation, and image-to-image transformation tasks such as super-resolution or inpainting.
Dataset Structure
Split: train
Number of rows: 6,712… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Realistic-Face-Portrait-1024px.Realistic-Portrait-Gender-1024px
Realistic-Portrait-Gender-1024px
Dataset Type: Image Classification
Task: Gender Classification (Female vs. Male Portraits)
Size: ~3,200 images
Image Resolution: 1024px x 1024px
License: Apache 2.0
Dataset Summary
The Realistic-Portrait-Gender-1024px dataset consists of high-resolution (1024px) realistic portraits labeled by perceived gender identity: female or male. It is designed for image classification tasks, particularly for training and evaluating gender… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Realistic-Portrait-Gender-1024px.Realistic-Occlusion-DatasetROD is meant to serve as a metric for evaluating models' robustness to occlusion. It is the product of a meticulous object collection protocol aimed at collecting and capturing 40+ distinct, real-world objects from 16 classes.