This repository aims at gathering resources, coding and informations from the Open Hack event (5-7/11/2018). The challenges were mainly focused on image recognition and eventually on detection object recognition.
The structure of the folder is the following:
- Data ==> all images of the company (each subfolder corresponds to an item category)
- Output: ==> saved models
- Scripts: ==> code in Python 3
Link to explaination for mAP (mean Average Precision): https://medium.com/@jonathan_hui/map-mean-average-precision-for-object-detection-45c121a31173