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 Evaluation is a two-step process. Submissions must pass Step 1 to be considered for Step 2.
 
 ### Step 1: Correctness (Pass/Fail)
-The output image from your API will be visually inspected. If the stitched, cropped, and scaled image is not what is expected from the input parameters, the submission is considered incorrect and will not be benchmarked for performance. **An incorrect submission receives no score.**
+The output image from your API will be visually inspected using perceptual hashing or manually. If the stitched, cropped, and scaled image is not what is expected from the input parameters, the submission is considered incorrect and will not be benchmarked for performance. Unit tests will be provided by organizer (author: I haven't written them yet). **An incorrect submission receives no score.**
 
 ### Step 2: Performance Benchmarking
 If the output is correct, your API will be benchmarked on two key metrics: