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Elegant object matching from several viewpoints The post Computer Vision: SIFT algorithm (Scale Invariant Feature Transform) appeared first on Towards Data Science.
ResNet is a family of convolutional neural networks that uses skip connections to train very deep models. This guide explains how residual blocks work and how ResNet-18 to ResNet-152 compare. It also shows where ResNet fits today and how to train and deploy it in Roboflow.
Learn how Sobel edge detection finds edges with two 3×3 kernels, how it compares to Canny, and how to run it on images and video in Roboflow.
Gaze tracking explained, plus a working pipeline: detect faces with SAM 3, track them with OC-SORT, and estimate gaze with L2CS-Net in Roboflow.
Pulling bad parts by hand dates back to 1960s assembly lines. I built a local defect detector using a webcam, RF-DETR, and a desktop robot arm. Ten training photos and 0.2 seconds per frame run the full detect, decide, pick, and verify loop right on my desk.
I wanted to cook venison from scratch, which meant learning to shoot, which meant keeping track of my progress, which meant porting a 2012 OpenCV paper and training a state-of-the-art computer vision model, which meant the dinner took a bit longer than expected.
scikit-learn was honored to be selected to participate in Cohort 2 of the GitHub Secure Open Source Fund (OSF) Training Program. Cohort 1 took place earlier in 2025 with 19 projects, and Cohort 2 took place with 52 projects during June 2025.
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