Computer Vision

I have a small project to identify different plants and flowers in my garden so I'm looking for best computer vision model or even a combination of LLMs out there. I found several computer vision models perform well in plant identification. Here are some top contenders to consider, depending on your specific needs:

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1. Convolutional Neural Networks (CNNs):

• These are the current state-of-the-art for plant identification.
• Popular pre-trained CNN options include:
  • ResNet: Known for its accuracy and efficiency, especially variants like ResNet-50 or the customized ResNet26 for plant images.
  • MobileNetV2: A lighter-weight option ideal for mobile applications due to its faster processing speed with good accuracy.

2. Other Models:

• Bag-of-Words (BoW) model with Scale-Invariant Feature Transform (SIFT): This approach extracts keypoint features from the image and uses them for classification. While not the most advanced, it can be a good option for smaller datasets.

Choosing the best model depends on factors like:

• Dataset size and variety: CNNs generally perform better with extensive training data.
• Computational resources: ResNet might be more demanding than MobileNetV2.
• Application requirements: If you need a mobile app, MobileNetV2's efficiency might be crucial.

Here are some additional resources to help you decide:

• Research paper comparing models: A Novel Computer Vision Model for Medicinal Plant Identification Using Log-Gabor Filters and Deep Learning Algorithms: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532088/
• Deep Learning for Plant Identification: Deep Learning for Plant Identification in Natural Environment: https://www.worldscientific.com/doi/full/10.1142/S1469026822500055
• Plant Species Identification Using Computer Vision Techniques: [Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review ON Springer link.springer.com]

Use the comment below to post other ideas. I will share the website or app after my research and testing when it's completed.

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First posted at QUE.com

Y2024 Humanoid Robots

 Here's a list of some of the most notable humanoid robots of 2024:

Tesla Bot (Optimus): Unveiled by Tesla in 2022, the Tesla Bot, also known as Optimus, is designed to be a general-purpose humanoid robot that can perform a wide range of tasks, from repetitive and mundane to dangerous or physically demanding. It's expected to stand at 5 feet 8 inches tall and weigh around 125 pounds.

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Boston Dynamics Atlas: A well-known robot from Boston Dynamics, the Atlas continues to be refined in 2024. Atlas is known for its athletic capabilities, having been designed for parkour and other challenging tasks.

Agility Robotics Digit: Designed for industrial applications, the Digit robot is built for working alongside humans in factories and warehouses. It has a modular design that allows for customization for specific tasks. Agility Robotics announced a factory capable of producing 10,000 Digit robots per year in 2024, indicating a potential for wider adoption.

Unitree H1: The Unitree H1 is a powerful and agile humanoid robot designed for a variety of tasks. It can walk at speeds exceeding 1.5 meters per second and has the potential to run autonomously at over 5 meters per second.

Kepler Forerunner K1: While not yet able to perform live demos, the Kepler Forerunner K1 is a new humanoid robot that was revealed at CES 2024. This robot has 14 linear-axis motors and 14 rotary-axis motors, hinting at its potential for complex movements.

It's important to note that humanoid robotics is a rapidly developing field, and new robots are being unveiled all the time. This list is not exhaustive, but it gives you a snapshot of some of the most interesting and promising humanoid robots of 2024.

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