transfer learning stage 1 : from green dataset Computer Vision Project

We upload the EMDS-7 dataset of microscopy images of environmental microorganisms which is publicly available here : https://figshare.com/articles/dataset/EMDS-7_DataSet/16869571 and here is the research article that was published which explains what computer vision algorithms achieved when applied to the dataset https://arxiv.org/abs/2110.07723, "EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation", Hechen Y et al. . We are not claiming any credit from the dataset, we only retrieved it from the research team's public media. We were not able to find a dictionary mapping the labels names to the raw classes (there are 42 classes including class "unknown"). It didn't matter to us as our aim is to transfer learn with EMDS-7 after which stage we would apply a second stage fine-tuning on an extremely small manually (by ourselves) annotated dataset. This dataset my bias your computer vision model to detect objects if the background is greenish, also some of the images have the scale of the size which might biais models to detect objects more if there's a scale on test/ future images. If you have any remarks or copyrights issues, we are reachable here : thomas.sadigh@gmail.com