Reconstructed Panda Robot Images and Annotated JSON files as Training Input for Keypoint R-CNN Model

The images in this dataset are the inference output of the trained LaMa model. Combined with json files with keypoints details, this dataset is used to train a modified Keypoints R-CNN model to track keypoints on Franka Emika Panda Arm. Once downloaded extract all the data in the three parts zip files in one folder. That is contents of all the three extracted folders should be in one folder. Steps to be taken Extract part1, part2, part3 Create a new folder for dataset say <All_Parts> Copy the contents of part1, part2, part3 in All_Parts (Simple copy paste should suffice since all the numbering in three parts are sequential and only split for uploading purposes) The new All_Parts dataset is the relevant dataset The details on how to use or reproduce this dataset is detailed in the following Repo: README.md for training a modified Keypoints R-CNN model and Track Keypoint using Prediction of the model