Multi-person detection

hello authors,

Sorry i want to ask a question related to Multi-person detection.
I want to ask wheter the COCO person dataset is specialized for multi-person?
i have trained a simple model using FCN for face keypoint regression. Can you please tell me how we can get heatmaps of muliple faces in the bottom-up approach. My current model takes input of 96x96x1 image and gives 96x96x15 size heatmaps for 15 keypoints. I trained my model using datset consisting of images with single face. Do i need the datset with multiple faces? and do I need bouding box information or mask information too?

Please give me your advice
thank you

The issue asks for advice on adapting a single-face model to multi-person detection using a bottom-up approach. Start by reviewing the repository's paper and code for multi-person handling, particularly any references to COCO dataset usage or bottom-up heatmap generation. Check if there are existing scripts for training on multi-person datasets or generating bounding boxes. Understanding the model's input/output format and dataset requirements is key to providing guidance.

Written by the indexing model from the issue text.