add-image-dim (#9)

- added columns of image size dims (b3d91979a598b57399dde787a8ce6b5c58e687a8)
- adding masks as well as column csv changes (2273f221e3bb9e252d3d43860ecc5e04c0231d24)

BeetleMeasurements.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ec48f53cf092121be66e041afc3a4c9c2101a1d133755bb37da0333799931f55
-size 16156835
+oid sha256:b5ce8f2354a129a0f6b4db864dadd4394e865f6091cac353845eba86987a32de
+size 19544989

README.md

@@ -104,7 +104,7 @@ The `individual_images` directory contains images of each individual segmented f
 
 The `group_images` folder has all 577 orignal full size images. The `beetle_images_resized` folder has the resized (approximately 1MB) images used for annotation in Zooniverse (1MB was the size limitation imposed by the software); aspect ratio was maintained in the resize. <!-- >, and the code used can be found [here](). -->
 
-Segmentation was completed by adapting the elytra length and width annotations to generate expected bounding boxes. [Segment Anything (SAM)]() was then used to segment the individual beetles. More information and the code for this process is provided in the [Imageomics/2018-NEON-beetles-processing repo](https://github.com/Imageomics/2018-NEON-beetles-processing).
+Segmentation was completed by adapting the elytra length and width annotations to generate the xy point input for the [Segment Anything (SAM)]() model. [Segment Anything (SAM)]() was then used to segment the individual beetles. More information and the code for this process is provided in the [Imageomics/2018-NEON-beetles-processing repo](https://github.com/Imageomics/2018-NEON-beetles-processing).
 
 
 |![picture of beetles in A00000046094](https://huggingface.co/datasets/imageomics/BeetlePalooza/resolve/main/group_images/A00000046094.jpg)|