Age and Gender prediction using Keras

Last update: May 03, 2022

Overview

cnn_age_gender

Age and Gender prediction using Keras

Dataset example :

Description :

UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. This dataset could be used on a variety of tasks, e.g., face detection, age estimation, age progression/regression, landmark localization, etc.

Results :

Owner

XN3UR0N

GitHub Repository

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Age and Gender prediction using Keras

Related tags

Overview

cnn_age_gender

Age and Gender prediction using Keras

Dataset example :

Description :

Results :

Owner

XN3UR0N

PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

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A Quick and Dirty Progressive Neural Network written in TensorFlow.

Python implementation of Project Fluent

As-ViT: Auto-scaling Vision Transformers without Training

This is the face keypoint train code of project face-detection-project

Black-Box-Tuning - Black-Box Tuning for Language-Model-as-a-Service

Event sourced bank - A wide-and-shallow example using the Python event sourcing library

The best solution of the Weather Prediction track in the Yandex Shifts challenge

Code for our EMNLP 2021 paper "Learning Kernel-Smoothed Machine Translation with Retrieved Examples"

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Autoregressive Models in PyTorch.

Official repository for Few-shot Image Generation via Cross-domain Correspondence (CVPR '21)

Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning"

This repository provides data for the VAW dataset as described in the CVPR 2021 paper titled "Learning to Predict Visual Attributes in the Wild"

PyTorch implementation for paper StARformer: Transformer with State-Action-Reward Representations.