Hash Resolution: Controls how much visual detail we use to compare images — higher values are more
accurate but slower.
Likeness Threshold: Sets how similar two images must be to group together — lower is stricter, higher is
looser.
Use higher resolution with a lower threshold for best accuracy. Lower resolution with a higher threshold is
faster but less precise.