Hasty (CloudFactory Computer Vision Wiki)

Dedicated pages explain image classification, object detection, semantic and instance segmentation, panoptic segmentation and attribute prediction.

Entries cover architectures such as ResNet, Faster R-CNN, Mask R-CNN, DeepLabv3+, U-Net, EfficientNet, FPN and RetinaNet.

Learn how confusion matrices, IoU, precision, recall, F-score, Average Precision and mAP are defined and applied.

Loss functions, optimizers such as Adam and SGD, learning-rate schedulers, batch sizes and epochs are each given a practical walkthrough.

Covers flips, crops, colour jitter, mosaic and interpolation, plus primitive, containerized and orchestrated deployment approaches.