Cloudinary
cloudinary.com › home › building a python image recognition system
Building a Python Image Recognition System | Cloudinary
January 14, 2026 - Image detection deals with analyzing an image to find different subjects and objects in the image, while image recognition deals with recognizing images and classifying them into distinct categories.
Reddit
reddit.com › r/learnpython › image recognition
r/learnpython on Reddit: Image recognition
September 28, 2022 -
Hello, I would like to learn enough that ultimately I can run python script, have it view what ever is on my monitor and locate photos, and interact with them.
For example I have folder with pictures of four animals. fish.png deer.png bear.png horse.png
I want the script to scan whatever is on my monitor and attempt to find out if any of the picture I am interested in are present. Ideally I will also be able to get the X,Y coords on the screen so I can automate some mouse movement and clicking as well.
This is a static image. I dont need to be able to identify ANY deer, or ANY fish. I just need to be able to find the known photo.
Not asking for code help, but can anyone point me in the right direction on what to research or any guides?
So far I have been able to use NUMPY and MATPLOTLIB following this series https://pythonprogramming.net/image-recognition-python/ and I am able to pull in my saved image and work with its array, but really not sure how to examine my screen and get x, y, resolution coords of a positive match.
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Use tensorflow with neural networks pretrained on ImageNet. If you want to try and understand how this stuff works, I recommend following Andrew NGs coursera stuff on deep learning. Although you can go in blind and use an off-the-shelf object recognition model like I suggested above. I'd say go for an efficientnetv2 model to start with...
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If the photos you want to be able to identify are fixed and known ahead of time, then a machine learning/neural network-based approach (as suggested by another comment) seems like overkill to me. You could do this with straightforward template matching. It would be a bit harder if you don't know what size the images on screen will be, but in that case you could probably use a keypoint-detection algorithm such as SIFT. Here is a tutorial on template matching with the scikit-image library that might help you get started. To get the contents of your screen, you could use a screenshot library like mss . Then you would use the screenshots you get as the images to search and your target animal images as the templates to search for in the screenshot.
algorithm - python image recognition - Stack Overflow
what I want to do is a image recognition for a simple app: given image (500 x 500) pxs ( 1 color background ) the image will have only 1 geometric figure (triangle or square or smaleyface :) ) of (... More on stackoverflow.com
Image recognition
Use tensorflow with neural networks pretrained on ImageNet. If you want to try and understand how this stuff works, I recommend following Andrew NGs coursera stuff on deep learning. Although you can go in blind and use an off-the-shelf object recognition model like I suggested above. I'd say go for an efficientnetv2 model to start with... More on reddit.com
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September 28, 2022image recognition in Python
Have a look at opencv2 (cv=computer vision). But be prepared that if its an online game, you will be detected. Also if the recognition is complicated you will have to get into neural networks. Anything selfcoded will most likely be too slow for your usecase with python More on reddit.com
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October 25, 2025How hard it is to make a OCR and a image recognition in Python?
From scratch? Very difficult. Using an existing package like Google's Python OCR library? Very easy; I've actually done it before to analyze ECG readouts. Look into ML Kit. More on reddit.com
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October 10, 2022Videos
Image recognition with Python, OpenCV, OpenAI CLIP and ...
Image Processing with OpenCV and Python - YouTube
22:30
Build Image Recognition Model In Python in 20 min - YouTube
03:07:41
Image classification with Python FULL COURSE | Computer vision ...
04:43
AI Image Recognition Using Python | No Internet Required - YouTube
Medium
guymodscientist.medium.com › image-prediction-with-10-lines-of-code-3266f4039c7a
Image Recognition with 10 lines of code | by Moses Olafenwa | Medium
January 5, 2021 - That is why we developed and released the ImageAI python library which abstracts the complex and time-consuming implementations of these computer vision algorithms, by providing developer and programmer friendly instructions and APIs, just as programming languages like Java, Python, .NET and others abstracted the programming instructions in Assembly and C.
Google AI
ai.google.dev › google ai edge › image classification guide for python
Image classification guide for Python | Google AI Edge | Google AI for Developers
The MediaPipe Image Classifier task lets you perform classification on images. You can use this task to identify what an image represents among a set of categories defined at training time.
open source image processing library for the Python programming language
Factsheet
scikit-image
Original author Stéfan van der Walt
Initial release August 2009; 16 years ago (2009-08)
scikit-image
Original author Stéfan van der Walt
Initial release August 2009; 16 years ago (2009-08)
scikit-image
scikit-image.org
scikit-image: Image processing in Python — scikit-image
Reach out if you would like to join them in supporting the next generation of open source image processing in Python.
Aiven
aiven.io › developer › find-faces-with-pgvector
Image recognition with Python, OpenCV, OpenAI CLIP and pgvector
June 26, 2023 - Learn how to utilise OpenCV, OpenAI CLIP and pgvector for image recognition on a corpus of photos. Simplify your workflows and visit the Aiven Developer Center!
GeeksforGeeks
geeksforgeeks.org › python › image-recognition-using-tensorflow
Image Recognition using TensorFlow - GeeksforGeeks
July 23, 2025 - In this article, we will use Tensorflow and Keras to build a simple image recognition model. Lets see various steps involved in its implementation: Here we will be using Matplotlib, NumPy, TensorFlow, Keras and PIL libraries. Python ·
Medium
medium.com › @martin.lees › image-recognition-for-automation-with-python-711ac617b4e5
Easy Image recognition for automation with python | by Martin Lees | Medium
March 30, 2020 - But as development went I had some other needs like being able to tune the precision (the less precision, the more forgiving the imagesearch is with slight differences). Or look at some specific places on the screen. etc · I encourage you to read the actual code, it’s really straightforward, short and commented : https://github.com/drov0/python-imagesearch/blob/master/imagesearch.py
Topcoder
topcoder.com › thrive › articles › python-for-image-recognition-opencv
Python for Image Recognition - OpenCV
December 11, 2020 - OpenCV is an open-source image recognition library. It is used for machine learning, computer vision and image processing. You can extract the most out of OpenCV when integrated with powerful libraries like Numpy and Pandas.
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A typical python tool chain would be:
- read your images with with PIL
- transform them into Numpy arrays
- use Scipy's image filters (linear and rank, morphological) to implement your solution
As far differentiating the shapes, I would obtain its silhouette by looking at the shape of the background. I would then detect the number of corners using a corner detection algorithm (e.g. Harris). A triangle has 3 corners, a square 4, and a smiley none. Here's a python implementation of the Harris corner detection with Scipy.
Edit:
As you mention in the comments, the blog post didn't present the function that produces a gaussian kernel needed in the algorithm. Here's an example of a such a function from the Scipy Cookbook (great resource btw):
def gauss_kern(size, sizey=None):
""" Returns a normalized 2D gauss kernel array for convolutions """
size = int(size)
if not sizey:
sizey = size
else:
sizey = int(sizey)
x, y = mgrid[-size:size+1, -sizey:sizey+1]
g = exp(-(x**2/float(size)+y**2/float(sizey)))
return g / g.sum()
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OpenCV has blob analysis tools, it will give you metrics about the shape which you can feed for your favourite pattern recognition algorithm :) Eg. rectangle has 1.0 ratio for area / (height * width), when circle's ratio is about 0.78.
GitHub
github.com › sarthakagarwal18 › Image-Recognition
GitHub - sarthakagarwal18/Image-Recognition: Image Recognition using Python · GitHub
Image Recognition in Python using OpenCV. Face Detection is done using Haar Cascade, and Recognition is done using the Linear Binary Pattern Histogram Algorithm.
Starred by 18 users
Forked by 15 users
Languages Python
Google AI
ai.google.dev › google ai edge › object detection guide for python
Object detection guide for Python | Google AI Edge | Google AI for Developers
import mediapipe as mp BaseOptions = mp.tasks.BaseOptions ObjectDetector = mp.tasks.vision.ObjectDetector ObjectDetectorOptions = mp.tasks.vision.ObjectDetectorOptions VisionRunningMode = mp.tasks.vision.RunningMode options = ObjectDetectorOptions( base_options=BaseOptions(model_asset_path='/path/to/model.tflite'), max_results=5, running_mode=VisionRunningMode.IMAGE) with ObjectDetector.create_from_options(options) as detector: # The detector is initialized.
GitHub
github.com › OlafenwaMoses › ImageAI
GitHub - OlafenwaMoses/ImageAI: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities · GitHub
Finally, ImageAI allows you to train custom models for performing detection and recognition of new objects. Eventually, ImageAI will provide support for a wider and more specialized aspects of Computer Vision ... pip install cython pillow>=7.0.0 numpy>=1.18.1 opencv-python>=4.1.2 torch>=1.9.0 --extra-index-url https://download.pytorch.org/whl/cpu torchvision>=0.10.0 --extra-index-url https://download.pytorch.org/whl/cpu pytest==7.1.3 tqdm==4.64.1 scipy>=1.7.3 matplotlib>=3.4.3 mock==4.0.3
Starred by 8.9K users
Forked by 2.2K users
Languages Python 99.8% | Cython 0.2%
IFIP News
ifipnews.org › home › image recognition and classification in python with tensorflow and keras
Image Recognition and Classification in Python with TensorFlow and Keras - IFIP News
July 20, 2023 - Due to deep learning, image classification, and face recognition, algorithms have achieved above-human-level performance and can detect objects in real-time. The first and second lines of code above imports the ImageAI’s CustomImageClassification class for predicting and recognizing images with trained models and the python os class.
Stack Abuse
stackabuse.com › image-recognition-in-python-with-tensorflow-and-keras
Image Recognition and Classification in Python with TensorFlow and Keras
November 16, 2023 - In practical terms, Keras makes ... modifications or configuration. Image recognition refers to the task of inputting an image into a neural network and having it output some kind of label for that image....
Asper Brothers
asperbrothers.com › home › blog
Image Recognition in Python based on Machine Learning
February 20, 2026 - Explore expert articles on MVP building, tech trends, product development & startup growth from the Asper Brothers team - practical insights for founders and builders.
Reintech
reintech.io › blog › how-to-create-an-image-recognition-system-with-python
How to Create an Image Recognition System with Python | Reintech media
January 22, 2026 - In this tutorial, we learned how to create an image recognition system using Python, TensorFlow, and Keras. We covered the entire process from dataset loading, preprocessing, creating the model, compiling and training the model, to evaluating the model's performance.
Kaggle
kaggle.com › code › washingtongold › a-deep-dive-into-image-recognition-tutorial
A Deep Dive into Image Recognition - Tutorial
Checking your browser before accessing www.kaggle.com · Click here if you are not automatically redirected after 5 seconds
Filestack
blog.filestack.com › home › building a comprehensive image recognition system in python
Building a Comprehensive Image Recognition System in Python
October 29, 2025 - Image recognition systems mimic human vision by extracting and analyzing visual features such as edges, textures, and shapes to classify or detect objects. Core Python libraries like TensorFlow, PyTorch, OpenCV, and Keras streamline the process ...
AskPython
askpython.com › home › image recognition with ai(tensorflow)
Image Recognition with AI(TensorFlow) - AskPython
May 22, 2023 - In this section, we are going to look at two simple approaches to building an image recognition model that labels an image provided as input to the machine. Before we move on to coding, we need to make sure Tensorflow is available in our system. ... Tensorflow needs a Python version of 3.x.