Blog

Computer Vision

Latest Posts Case Studies Product Updates Logistics Manufacturing

neuralhash collisions

19 Aug 2021 • 6 min read

ImageNet contains naturally occurring NeuralHash collisions

SUMMARY NeuralHash, the perceptual hashing model behind Apple's client-side CSAM detection system, is designed so that two distinct images should never share the same 96-bit hash. A search through ImageNet uncovered two naturally occurring image pairs with identical NeuralHashes, independent of the adversarially crafted collisions researchers

Computer Vision Use Cases in Healthcare and Medicine

25 Jan 2021 • 3 min read

Computer Vision Use Cases in Healthcare and Medicine

The FDA has authorized 1,524 AI-enabled medical devices, and the market for vision in healthcare is growing 24% a year. Here are 9 ways hospitals use computer vision today, from pill counting to cancer screening, with tutorials to build each one.

Using Computer Vision to Count Fish Populations (and Monitor Environmental Health)

5 May 2020 • 7 min read

Using Computer Vision to Count Fish Populations (and Monitor Environmental Health)

Counting salmon passing through a fish ladder viewing window is currently done by trained human observers, but object detection models can automate and scale that work. See how data scientist Jamie Shaffer trained a computer vision model.

types

27 Feb 2020 • 4 min read

How to Select the Right Computer Vision Model Architecture

SUMMARY Choosing a computer vision model architecture for object detection involves trading off speed, accuracy, and deployment constraints. This post compares three architectures: YOLOv3, a single-shot detector optimized for speed at 60+ FPS with lower accuracy; MobileNet SSD, a single-shot detector slightly slower than YOLOv3 but stronger on

Stay Connected

Get the Latest in Computer Vision First