Code Arena vs 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.