explain model in/out to guide additions

README.md

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 # Sample models for caMicroscope.
 
 ## Classification Models
-The following sample classification models can be used by caMicroscope's predict application as-is.
+The following sample classification models can be used by caMicroscope's predict application as-is. Classification models take in a square patch of the image in either RGB or black and white, and ouput a classification associated with the input. When using the model with caMicroscope, the patch size, classification labels, and whether the model operates on black and white or RGB images should be specified.
 * [ICIAR18](Classification%20Sample%20Models/ICIAR18_data_IRRCNN_model) -- [model](Classification%20Sample%20Models/ICIAR18_data_IRRCNN_model/tfjs_model/model.json) and [weights](Classification%20Sample%20Models/ICIAR18_data_IRRCNN_model/tfjs_model/group1-shard1of1.bin)
 * [Bioimaging15](Classification%20Sample%20Models/classification-of-HnE-stained-histological-breast-cancer-images) -- [model](Classification%20Sample%20Models/classification-of-HnE-stained-histological-breast-cancer-images/tfjs_model/model.json), [weights part 1](Classification%20Sample%20Models/classification-of-HnE-stained-histological-breast-cancer-images/tfjs_model/group1-shard1of2), and [weights part 2](Classification%20Sample%20Models/classification-of-HnE-stained-histological-breast-cancer-images/tfjs_model/group1-shard2of2)
 * [Lymphoma](Classification%20Sample%20Models/lymphoma-cancer-classification) -- [model](Classification%20Sample%20Models/lymphoma-cancer-classification/model/tfjs_model/model.json), and [weights](Classification%20Sample%20Models/lymphoma-cancer-classification/model/tfjs_model/group1-shard1of1)
 
 ## Segmentation Models
-The following segmentation models can be used by caMicroscope's segmentation algorithm, as an alternative to traditional CV methods.
+The following segmentation models can be used by caMicroscope's segmentation algorithm, as an alternative to traditional CV methods. Segmentation models take in image data and return a mask of the same size. When using the model with caMicroscope, the whether the model operates on black and white or RGB images should be specified.
 * [Mitosis](egmentation%20Sample%20Models/mitosis-segmentation) -- [model](Segmentation%20Sample%20Models/mitosis-segmentation/tfjs_model/model.json), [weights part 1](Segmentation%20Sample%20Models/mitosis-segmentation/tfjs_model/group1-shard1of2.bin), and [weights part 2](Segmentation%20Sample%20Models/mitosis-segmentation/tfjs_model/group1-shard2of2.bin). 
 
 ## Common Issues: