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Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning Blog

This extensive dataset covers a wide range of objects and categories, providing SAM with a diverse and large-scale training data source. Silver car or driving lane) and SAM model would produce segmentation masks for that object. Let’s try to generate a mask for the car on the left with the green bounding box as an input to SAM.

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Just Calm Down About GPT-4 Already

Flipboard

When are we going to have full (level-5) self-driving cars? In fact, six or seven years ago, there were predictions that we would have fully self-driving cars by now. CEOs of major auto companies were all saying by 2020 or 2021 or 2022, roughly. I think the Level-2 and Level-3 stuff in cars is amazingly good now.

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Synthetic Data: A Model Training Solution

Viso.ai

1: Variational Auto-Encoder. A Variational Auto-Encoder (VAE) generates synthetic data via double transformation, known as an encoded-decoded architecture. Block diagram of Variational Auto-Encoder (VAE) for generating synthetic images and data – source. Technique No.1: Then, it decodes this data back into simulated data.

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Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

AWS Machine Learning Blog

For example, the following figure shows a 3D bounding box around a car in the Point Cloud view for LiDAR data, aligned orthogonal LiDAR views on the side, and seven different camera streams with projected labels of the bounding box. Active learning is another concept that is closely related to auto-labeling.

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Feature Selection Techniques in Machine Learning

Mlearning.ai

The two main categories of feature selection are supervised and unsupervised machine learning techniques. Imagine you have a box of mixed-up sounds like people talking, music playing, cars honking. Choosing the right feature selection method is like choosing the right weapon in a video game. Here’s the overview.

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The project I did to land my business intelligence internship?—?CAR BRAND SEARCH

Mlearning.ai

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. INTRODUCTION Have you ever wanted to buy your own car? A car is more than just a means of transportation — it’s a symbol of freedom, independence, and adventure. Windows NT 10.0;

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Grading Complex Interactive Coding Programs with Reinforcement Learning

The Stanford AI Lab Blog

Following this line of work, we focus on a specific category of games – those developed by students as part of a programming assignment. In this toy environment, the agent drives a car on a 2D plane. Being stuck means the car’s physical movement is altered, resulting in back-and-forth movement around the same location.