YOLOE: object detection without fine-tuning https://sudonull.com/yoloe-object-detection-without-fine-tuning
Learn how YOLOE uses text and visual prompts for detecting arbitrary objects. Backbone YOLO + RepRTA for speed. Code examples and scenarios for middle/senior dev. Test on your own tasks.
Superframe in YOLOv11: detection in video https://sudonull.com/superframe-in-yolov11-detection-in-video
Learn how superframe adds temporal context to YOLOv11 and RT-DETR for object detection in sports video. Experiments, code, results — for middle/senior dev.
TAPe detection: 100k parameters vs SOTA models https://sudonull.com/tape-detection-100k-parameters-vs-sota-models
How the TAPe detector with 100k parameters outperforms YOLO and RF-DETR in speed and resource savings. Detailed breakdown of benchmarks and advantages for developers.
TAPe without transformers: patch associations https://sudonull.com/tape-without-transformers-patch-associations
Learn how abandoning transformers in TAPe+ML reduced parameters by orders of magnitude and gave the beginnings of segmentation on COCO. Local associations for object detection — read the details for developers.
Bbox augmentation in Albumentations: formats and errors https://sudonull.com/bbox-augmentation-in-albumentations-formats-and-errors
Setting up A.BboxParams for detection: coordinate formats, label_fields, filtering. Avoid typical errors in the pipeline. Guide for developers.