SmallCV
SmallCV is an open-source computer vision library for building image classification and object detection models. It provides a simple API and modular components for tasks like image preprocessing, model training, and making predictions.
opensource
image-classification
object-detection
model-training
SmallCV: Open-Source Computer Vision Library
SmallCV is an open-source computer vision library for building image classification and object detection models. It provides a simple API and modular components for tasks like image preprocessing, model training, and making predictions.
What is SmallCV?
SmallCV is an open-source computer vision library designed to make building image classification and object detection models easy and accessible. It is built on top of popular machine learning frameworks like TensorFlow and PyTorch.
Some key features of SmallCV include:
- Simple and intuitive Python API for tasks like loading data, training models, and making predictions
- Modular design allowing you to easily customize and swap out components like neural network backbones, image transformations, etc.
- Pre-made model architectures, including lightweight models for deployment on edge devices
- Tools for labeling data, monitoring training, visualizing predictions, model export, and more
- Extensive documentation and tutorials to help you get started quickly
SmallCV makes an excellent choice for developers and researchers looking to prototype computer vision models for real-world applications like image search, autonomous vehicles, medical imaging analytics, and more, especially on budgets and with limited compute resources.
With its focus on ease-of-use and flexibility, SmallCV lowers the barriers to entry for working with cutting-edge computer vision techniques.
SmallCV Features
Features
- Image classification
- Object detection
- Image preprocessing
- Model training
- Making predictions
Pricing
- Open Source
Pros
Open source
Simple API
Modular components
Active community support
Cons
Limited model architectures
Less flexible than larger frameworks
Lower accuracy than state-of-the-art models
Official Links
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