Yukun-Huang/Person-Attribute-Recognition-MarketDuke
A PyTorch baseline implementing ResNet50 for multi-label pedestrian attribute recognition on Market-1501 and DukeMTMC-reID datasets.
Not currently ranked — collecting fresh signals.
star history
This repository provides a simple deep learning baseline for pedestrian attribute recognition, treating it as independent binary classification for each attribute (e.g., gender, clothing type). It uses ResNet50 as the backbone model and evaluates on standard re-identification datasets Market-1501 and DukeMTMC-reID with their attribute annotations.
Frequently asked
- What is Yukun-Huang/Person-Attribute-Recognition-MarketDuke?
- A PyTorch baseline implementing ResNet50 for multi-label pedestrian attribute recognition on Market-1501 and DukeMTMC-reID datasets.
- Is Person-Attribute-Recognition-MarketDuke open source?
- Yes — Yukun-Huang/Person-Attribute-Recognition-MarketDuke is an open-source project tracked on heatdrop.
- What language is Person-Attribute-Recognition-MarketDuke written in?
- Yukun-Huang/Person-Attribute-Recognition-MarketDuke is primarily written in Python.
- How popular is Person-Attribute-Recognition-MarketDuke?
- Yukun-Huang/Person-Attribute-Recognition-MarketDuke has 404 stars on GitHub.
- Where can I find Person-Attribute-Recognition-MarketDuke?
- Yukun-Huang/Person-Attribute-Recognition-MarketDuke is on GitHub at https://github.com/Yukun-Huang/Person-Attribute-Recognition-MarketDuke.