Focus AI - Edition #88
#Kaggle #Amazon #ComputerVision #FFCV #Drone
Focus AI, the latest AI news in just 3 minutes.
Edition #88 - January 28th 2022
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📸 Want to teach your drone to see? Use this massive dataset
Researchers with the Chinese Academy of Sciences, the Shenzhen Research Institute of Big Data, and the Chinese University of Hong Kong Shenzhen, have built WebUAV-3M, a large dataset to help people teach drones to accurately label images and videos. WebUAV-3M consists of 4,485 videos, where each one has been labeled with dense bounding boxes that cover 216 distinct categories of object to be tracked (e.g, bears, wind turbines, bicycles, etc). The authors claim this is "by far the largest public UAV tracking benchmark".
❄️ Up to 300,000 METEORITES lie undiscovered in Antarctica's ice fields
Using artificial intelligence to predict potential landing sites of pieces of space rock over the past few millennia, helped experts from the Free University of Brussels in Belgium, to create a 'treasure map' of places to find these valuable rocks.
Thanks to the AI-produced treasure map, the team now have a list of locations to look, with many very close to existing research stations on Antarctica.
🐰 Train machine learning models fast
There's some new software that could help pretty much everyone train models more efficiently. The software is called FFCV, short for Fast Forward Computer Vision, and it is a "drop-in data loading system that dramatically increases data throughput in model training". It looks like a potentially big deal - FFCV can be much more efficient for training AI models, according to tests done by the authors, and may also work for other applications as well.
🎥 Trends in Visual surveillance
CSET researchers have identified trends in computer vision research by looking for patterns of publication for six distinct tasks, analyzing 100 million English publications that were published between 2015-2019.
Facial recognition was the most well-established task over this period, and crowd counting and face spoofing detection were rapidly growing areas. The overall percentage share of surveillance papers has remained stable around 5.5% over this period, though the raw volume of papers has grown given the surge in computer vision research overall. During this time period, China’s share of global CV papers grew from 33 to 37% and surveillance papers from 36% to 42%, exceeding research from the EU (2nd) and the US (3rd) by more than 20% in each category.
💹 Ubiquant Market Prediction
In this competition, you’ll build a model that forecasts an investment’s return rate. Train and test your algorithm on historical investment prices.
Top entries will solve this real-world data science problem with as much accuracy as possible.
🛍 Let the Model Choose Your Outfit
Amazon’s first brick-and-mortar clothing store is getting ready to deliver automated outfit recommendations.
The ecommerce giant announced plans to open a flagship Amazon Style location at a Los Angeles-area mall this year.
Customers will be able to scan QR codes using their phones to see variations in color and size as well as items recommended by machine learning models.
#Kaggle #Amazon #ComputerVision #FFCV #Drone
A big thanks to our sources: https://jack-clark.net/, https://www.actuia.com/, https://thevariable.com/news/, https://techcrunch.com/, https://read.deeplearning.ai/the-batch/
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Have a good week-end,
Verónica 🐕 , Maxime 🙃 from Toulouse, France with 🌺