Changelog

Update 2019-09-20

Added:

  • New shortcuts for labeling (‘Z’ to fit image to screen, Ctrl or Shift + mouse wheel to scroll image left/right or up/down)

Changed:

  • A minimum value of optimized score threshold for multi-label classification is now 5%
  • Downloaded image labels for object detection, segmentation and classification are now all in one .json file
  • Reordered context menu of right mouse button

Update 2019-08-30

Added:

  • Functionality to perform image similarity search via web interface and REST api
  • Possibility to see how many images will be allocated to train and validation sets
  • Functionality to rotate image
  • Functionality to sort images by name or upload time
  • Possibility to select images from several different pages
  • New shortcuts: press ctrl+1, ctrl+2, etc. to select object label
  • New shortcut: delete images with [delete] key
  • Possibility to pre-process images for classification and similarity search during image upload

Changed:

  • Restructured project selection and editing menu
  • Removed boundary groups from object detection labeling (now each bounding box is stand-alone)

Update 2019-06-26

Added:

  • Functionality to upload object detection and segmentation labels from a .json file
  • Functionality to select and move polygons by mouse click during labeling
  • Full screen mode for image labeling
  • Icons to mark images labeled for object detection and segmentation
  • Possibility to exclude labels from training in the training screen
  • Possibility for changing line width for labeling
  • Functionality to filter images by labels using “and” and “or” filters
  • Functionality to upload images by selecting a whole folder

Changed:

  • Removed “save” button from settings menu (now settings are saved automatically)
  • Now images in “show predictions” screen are shown in original aspect ratio
  • Restructured upper menu

Updates 2018-11-18 – 2019-06-26

Added:

  • Possibility to upload classification labels as a .csv file
  • Possibility to download classification predictions as a .csv file, .json file or images grouped into folders by predicted labeling
  • Download object detection and segmentation labels as a .json file
  • Upload images as a .zip file with a possibility to label them based on folder structure
  • Possibility to select which exact images will be used for validation
  • Possibility to set “default” label on all selected images
  • Possibility to have a fixed bounding box ratio
  • Possibility to have a fixed number of points in a polygon
  • Possibility to skip images that are already labeled
  • Possibility to switch between images using arrows or “A” and “D” shortcuts

Changed:

  • Labels without the minimum required number of images are automatically excluded from training
  • Improved bounding box and segmentation labeling tools

SentiSight.ai first release 2018-11-18

Added:

  • Functionality to train single-label and multi-label classification models
  • Functionality to label images for classification, object detection and segmentation
  • Functionality to view predictions on train and validation sets and analyze model’s performance
  • Functionality to filter images by type and labels
  • REST api service