# Specifications The following table gives the specifications of all deep learning methods in **eVision** for **EasyClassify**, **EasySegment** and **EasyLocate**. | | **EasyClassify** | **EasySegment Unsupervised** | **EasySegment Supervised** | |----------------------------------------|-------------------------------------|---------------------------------------------------------|------------------------------------------------------| | **Minimum image size** | 128 x 128 | 64 x 64 | 128 x 128 | | **Maximum image size** | 1024 x 1024 | 10 000 x 10 000 | 500 000 pixels (for ex. 707 x 707 for square images) | | **Best image size** | 224 x 224 | n.a. | | | **Number of channels** | 1 or 3 (grayscale and color images) | | | | **Bit depth** | 8 bits, 16 bits | | | | **Number of labels** | 2 - 1000 | 2 (good and defective) | 2 - 64 | | **Minimum number of images per label** | 2 | 1 for the good label

0 for the defective label | 1 | | **Supported formats** | bmp, png, jpeg, j2k, tiff | | |