bucketdetect

bucketdetect is a Python library designed for object detection tasks. It provides a framework for implementing and training various object detection models. The library focuses on simplifying the process of setting up experiments, managing datasets, and evaluating model performance. bucketdetect aims to be flexible, allowing users to integrate their own custom models or utilize pre-trained architectures.

The core functionality of bucketdetect revolves around its ability to handle different object detection pipelines. It supports common tasks such as data augmentation, anchor generation, and non-maximum suppression. Users can define their model architecture using popular deep learning frameworks that bucketdetect integrates with. The library also includes utilities for logging training progress and visualizing detection results, which are crucial for iterative development and debugging.

bucketdetect is particularly useful for researchers and developers who need a streamlined approach to object detection projects. By abstracting away many of the low-level implementation details, it allows users to concentrate more on the experimental aspects of their work. The library's modular design enables easy customization and extension, making it adaptable to a wide range of object detection challenges.