ai4-metadata.yml

metadata_version: 2.0.0
title: Apple tree blossom image segmentation
summary: We suggest a 2D image segmentation model based on UNET algorithm to segment images with blossoming apple tree
description: |-
  Apple flowers are very sensitive to temperature. The study of their development makes it possible to study climate change. 

  This module proposes a model for the segmentation of apple blossom images. This model is based on the UNET algorithm. We suggest a tool for inference of images and a tool for retrain a model. The model in inference and retraining is a Tensorflow model in h5 format.

dates:
  created: '2022-07-26'
  updated: '2024-10-09'
links:
  source_code: https://github.com/deephdc/UC-hereariim-DEEP-OC-blossom
  docker_image: deephdc/uc-hereariim-deep-oc-blossom
  weights: https://github.com/hereariim/blossom/tree/master/blossom/models
tags:
  - deep learning
tasks:
  - Computer Vision
categories:
  - AI4 inference
  - AI4 pre trained
libraries:
  - TensorFlow
data-type:
  - Image