
Roboflow Universe
TensorFlow Lite
Apple Core ML
Monitor ML
Roboflow
Aquarium
Qualdoโข
Google CLOUD AUTOML
Google's Python Class
Think Python
The New Boston video series
A Byte of Python
Hackr.io
Learn Python The Hard Way
Corey Schafer Youtube
Udacity - CS101
Roboflow Universe
Google's Python ClassGoogle's Python Class might be a bit more popular than Roboflow Universe. We know about 23 links to it since March 2021 and only 21 links to Roboflow Universe. 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.
[ { "project_title": "Basketball Detection", "url": "https://universe.roboflow.com/workspace/basketball-detection", "author": "John Doe", "project_type": "Object Detection", "has_model": true, "mAP": "85.2%", "precision": "87.1%", "recall": "83.5%", "training_images": "5000", "classes": ["basketball", "player"], "api_endpoint":... - Source: dev.to / 8 months ago
Before your AI can recognize emotions, it needs to learn from thousands of labeled examples. Use Roboflow Universe to find or create emotion datasets. The dataset manager script automates download and formatting in YOLOv11-compatible folders. - Source: dev.to / 9 months ago
FWIW you can use roboflow models on-device as well. detect.roboflow.com is just a hosted version of our inference server (if you run the docker somewhere you can swap out that URL for localhost or wherever your self-hosted one is running). Behind the scenes itโs an http interface for our inference[1] Python package which you can run natively if your app is in Python as well. Pi inference is pretty slow (probably... - Source: Hacker News / about 2 years ago
Itโs an easy to use inference server for computer vision models. The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface). Itโs backed by a bunch of component pieces: * a server (so you donโt have to reimplement things like image processing & prediction... - Source: Hacker News / about 3 years ago
* Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects. Source: over 3 years ago
Decided to write this post. I will be studying from: 1)https://developers.google.com/edu/python 2)https://www.py4e.com/ 3)https://realpython.com/. - Source: dev.to / about 1 year ago
Https://youtu.be/rfscVS0vtbw Https://developers.google.com/edu/python/. Source: about 3 years ago
The original Google Python crash course was made for people like you in mind! Self paced with exercises set up for you to jump right in. Source: over 3 years ago
Google Education Python Course: https://developers.google.com/edu/python/. Source: over 3 years ago
This is how I started, and was enough to get me started on a large automation project for work: https://developers.google.com/edu/python. Source: almost 4 years ago
TensorFlow Lite - Low-latency inference of on-device ML models
Think Python - Learning Resources
Apple Core ML - Integrate a broad variety of ML model types into your app
The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Monitor ML - Real-time production monitoring of ML models, made simple.
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.