Spyne.ai
PhotoAiD
FocoClipping
ZapBG
Cutout.Pro
Pixelz
Pixo
autoRetouch
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
One of the biggest pain points for any online seller is to showcase their products in the best possible manner to grab customer attention and increase conversions.
Spyne is transforming the way businesses create their catalog using state-of-the-art AI technology. No studio. No photography skills. No complex processes. Just Spyne to create stunning catalogs that drive 40% better conversions.
We are building first-of-its-kind AI that would transform the way businesses will create high-impact catalogs without the need for a physical studio.
We are building computer vision and AI technology to automate image processing workflows. This will help any business or marketplace shoot, edit, and publish product visuals at scale, at a fraction of the cost, and time.
We are helping large e-commerce marketplaces in the automotive, food, fashion, real estate, and retail industry create and upgrade high-quality visual catalogs at scale.
Founded in 2018, Spyne is headquartered in Gurugram, India serving 80+ customers across 15+ countries including Amazon India, Flipkart, Karvi, OLACars, Sell Any Car, etc. We are backed by Accel Partners, Storm Ventures, and other marquee investors.
Spyne.ai PandasBased on our record, Pandas seems to be more popular. It has been mentiond 201 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 22 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 27 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 3 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
PhotoAiD - Take passport photos where and when you want!
NumPy - NumPy is the fundamental package for scientific computing with Python
FocoClipping - FocoClipping is an online free-to-use image background remover, the key features are as follows : 1. Remove image background 100% automatically. 2. HD output quality up to 3000x 3000 pixels. 3. One click to change backgrounds with new backgrounds.
OpenCV - OpenCV is the world's biggest computer vision library
ZapBG - Remove backgrounds fast & easily with just a few clicks.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.