attribute recognition

Author: ajithvcoder

README.md

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+## Topic : Person Attribute Recognition
+
+**Objective** : To improve the base line code and achieve better results than current SOTA(please see this paper for the accuracy that we have to achieve "Rethinking of Pedestrian Attribute Recognition:
+Realistic Datasets and A Strong Baseline" - https://arxiv.org/pdf/2005.11909.pdf )
+
+### Important links :
+
+**Base line code** - https://github.com/valencebond/Strong_Baseline_of_Pedestrian_Attribute_Recognition
+
+**Base line codes paper** - "Rethinking of Pedestrian Attribute Recognition: Realistic Datasets and A Strong Baseline" https://arxiv.org/pdf/2005.11909.pdf
+
+**All Datasets link** - https://github.com/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List
+
+**Literature survey** - All papers related to it - https://github.com/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List
+
+**Another base line code (but its not working with Rapv2 dataset)** - https://github.com/dangweili/pedestrian-attribute-recognition-pytorch
+
+
+
+
+
+**Current Accuracies:**
+(Taken from https://arxiv.org/pdf/2005.11909.pdf)
+![Types of models](baselinepaper.PNG)
+
+
+**Methods or different models available :**
+Example :
+![Types of models](methods.PNG)
+https://arxiv.org/pdf/2005.11576.pdf
+
+**Datasets that we are going to focus on :**
+PA100k 
+RAPv2
+PETA
+RAPv1
+The school of AI dataset - will send it later 
+Market 1501 (optional)
+
+
+
+**Project Schedule :** (Even if planned schedule didnt work its not a problem we can try to achieve it else we can reschedule)
+
+Since we have a base line code and datasets already we need to improve the model alone thats enough . Each one can take a dataset and work on improving a model for that if any one gets a improvement in any one dataset we can proceed with that model .
+
+
+Current baseline is on Resnet50 so we can think of using inception ,densenet or any other suitable network .
+
+Literature survey 4 days 
+
+I think 12 days is enought for find a new model . 
+so with in August 2 lets try to find a model that better than current model
+
+So in august month 1- 15 we can write our paper .
+
+July 17 - July 20 - Literature survey
+
+July 21 - Aug 2 - Model preparation
+
+Aug 2 - Aug 17 - paper writing
+
+**Accuracy to be achieved :**
+
+Name - Precision
+Pa100k - 89.41
+Rapv2- 81.99
+PETA - 86.99
+Rapv1 - 82.84
+MARKET-1501 - (optional)
+TSAI - (Any thing is okay as along as above is satisfied)
+
+**Works done :**
+
+19-07-2020 - Attached the notebooks to run the file on pa100k and rapv2 dataset with baseline code 
+
+
+