Object Detection
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A practical guide to identifying, restoring, and transforming elements within your images
34 min read -
From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more
24 min read -
Why specialized models still hold the 30x speed advantage in production environments
19 min read -
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch
17 min read -
From rigid grids to adaptive attention, this is the evolutionary path that made detection transformers…
6 min read -
From VOC to JSON: Importing pre-annotations made simple
9 min read -
Using knowledge graphs to handle the unexpected in semantic communication
6 min read -
From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities
Artificial IntelligenceMimicking human visual perception to truly understand objects
22 min read -
I examined several well-known object detection pipelines and designed one that best suits my needs…
16 min read -
Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
10 min read