aerial_wildlife_detection - AIDE v2.2

AIDE v2.2

Includes the following fixes:

• Fixed a bug in the Debian/Ubuntu installation script related to the AIDE worker daemon process
• Adjusted the image viewer for better scrolling, zooming, and panning
• Fixed password update check during AIDE startup

- Python
Published by bkellenb over 4 years ago

aerial_wildlife_detection - AIDE v2.1

AIDE v2.1

• v2.1 introduces a new installation script for Debian/Ubuntu systems. This has been tested on Ubuntu 20.04 LTS but is still in beta mode. See here.
• Many bug fixes for dependency versions, migration script, UI (new project screen), model import in Model Marketplace

- Python
Published by bkellenb over 4 years ago

aerial_wildlife_detection - AIDE v2.0

Official release of AIDE version 2.0.

This release contains the following improvements over the previous v1.9: - New models based on the Detectron2 framework: - Image classification: AlexNet, DenseNet, MNASNet, MobileNet, ResNet, ResNeXt, ShuffleNet, SqueezeNet, VGG, Wide ResNet - Object detection: Faster R-CNN, RetinaNet, TridentNet - Semantic segmentation: DeepLabV3+ - Model Marketplace: - Share your models across projects with two clicks - Download trained models to disk, upload to AIDE or import from the Web - Manual label class assignment for pre-trained models for maximum performance (in addition to dynamic model adaptation) - Preparation towards code framework for AIDE model zoo (stay tuned for release!) - Many bug fixes regarding the Workflow Designer, data management, and more

- Python
Published by bkellenb almost 5 years ago

aerial_wildlife_detection - AIDE release for scientific paper

Pre-release of AIDE 2.0 with all functionalities from the paper (Kellenberger, B., Morris, D., Tuia, D.: AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning. Methods in Ecology and Evolution, in press). Functionalities contained: - Labeling interface (image labels, points, bounding boxes, segmentation masks) - Built-in models (ResNet, RetinaNet, U-Net) with active learning support - Workflow designer - Data management - User and model performance evaluation

Not yet built-in, resp. work in progress: - Model marketplace - Improvements to existing functionality - New, unannounced capabilities

- Python
Published by bkellenb over 5 years ago