Update Readme.md

giskard_vision/image_classification/Readme.md

@@ -3,7 +3,7 @@
 This module contains model wrappers, dataloaders, tests and all the ingredients needed to evaluate your single-label image classification models.
 In particular this module allows you to evaluate your model against the following criteria:
 
-- Performance on images with different basic image attributes.
+- Performance on images with basic image attributes (provided by default).
 - Performance on images with various metadata from the datasets.
 - Robustness against image perturbations like blurring, resizing, recoloring (performed by `opencv`: https://github.com/opencv/opencv)
 
@@ -26,9 +26,8 @@ results = scan(model, dl)
 
 It adapts the [scan API in Giskard Python library](https://github.com/Giskard-AI/giskard#2--scan-your-model-for-issues) to magically scan the vision model with the dataloader.
 
-Currently, due to the constraint of the scan API, we support a subset of image classification tasks:
+Currently, we support a subset of image classification tasks:
 
-- [x] Multiclass and single label
-- [ ] Multiclass and multi-label
+- [x] single-label
+- [ ] multi-label
 
-We will be working to remove such limit for the scan.