Prediction of veins and lobes on nearly 25K grapevine leaves

This dataset infers on nearly 25,000 grapevine leaves vein and lobe segmentation using a previous developed model, linked to below:Segmentation and alignment of grapevine leaf veins and lobes in a rotationally invariant space using the Euler Characteristic Transform: https://zenodo.org/records/18040082 While the raw data to infer on is provided in this upload, two derived components (to help reduce file sizes) are not. Both components are saved as folder in ./outputs. One is aligned_polar_for_prediction (polar rgb and ect inputs aligned to each other that are used as model inputs) and the other is inference_pol_cart_aligned, the final Cartesian and polar inference (and rgb and ect) outputs, which are the prediction results. Both can be re-derived from the provided data and code in this download. The inferred results can be downloaded at:Inferred veins and lobes on nearly 25K grapevine leaves: https://zenodo.org/records/18057441 The following shows the history of models leading to this one. The models below are primarily used to predict the petiolar junction (which only requires prediction of the full and primary vein masks), which is used as the foundational input for this inference. Segmentation of RGB leaf masks LEAF_SEGMENTATION: https://zenodo.org/records/16883916 FINAL_MASKS: https://zenodo.org/records/16883403 Segmentation of full vein mask Vein segmentation of pre-segmented grapevine leaves using the radial Euler Characteristic Transform: https://zenodo.org/records/17741713 Segmentation of primary veins Primary vein segmentation in grapevine leaves: https://zenodo.org/records/17881166 Segmentation of midvein Midvein segmentation of grapevine leaves: https://zenodo.org/records/18005383 Gaussian heatmap estimation of petiolar junction coordinate Grapevine leaf petiolar junction detection: https://zenodo.org/records/17922822 Segmentation of midvein, distal, and proximal lobes Grapevine leaf lobe detection model: https://zenodo.org/records/18004938