Spyne.ai
PhotoAiD
FocoClipping
ZapBG
Cutout.Pro
Pixelz
Pixo
autoRetouch
NumPy
Pandas
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.aiBased on our record, NumPy seems to be more popular. It has been mentiond 112 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: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 22 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 27 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 29 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
PhotoAiD - Take passport photos where and when you want!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.
