This resource provides the results of a morphological classification of 2,184,283 eclipsing binary candidates from the Gaia DR3 catalogue. The systems are classified into detached and overcontact configurations, followed by the identification of starspot signatures within both morphological classes.

The classification was performed using a hierarchical computer-vision pipeline based on a fine-tuned ResNet-18 convolutional neural network trained on synthetic light curves generated with the ELISa code. The phase-folded Gaia G-band light curves are represented as 3-channel 128×128 pixel images encoding the flux distribution, its polar transformation, and the flux gradient.

A tailored augmentation scheme calibrated to the Gaia cadence distribution was applied to reduce the synthetic-to-real domain gap (in prep).

Because the morphological classification is based on single-passband Gaia G photometry alone, overcontact and ellipsoidal systems cannot be reliably distinguished. Therefore, systems with orbital periods P > 3 d initially classified as overcontact are explicitly reassigned as "ellipsoidal", since such long-period overcontact configurations are physically unlikely for main-sequence stars.