I work in a social science lab and labelling data is always a bottleneck.
Mind you, this is just labeling an initial dataset to validate against crowdsourced labels.
What kind of tools, tricks, or platforms do you use to label data within your institution?
For mutually exclusive images I send annotators a zip file of images and have them drag images into sub-directories for each class. What about for non-mutually exclusive images (IE where one image has more than one label)? How about for metadata and text?
I hope that the question is clear, but more importantly I hope this thread can serve as a resource for others who need to label datasets without (or before) crowd workers,