ssd_keras and SSD-pytorch

ssd_keras
51
Established
SSD-pytorch
48
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 1,873
Forks: 925
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 169
Forks: 49
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About ssd_keras

pierluigiferrari/ssd_keras

A Keras port of Single Shot MultiBox Detector

This is an accurate and well-documented implementation of the Single Shot MultiBox Detector (SSD) model, designed for developers working with computer vision. It takes images as input and outputs identified objects with bounding boxes, allowing you to train models to detect specific items in visual data. The primary users are machine learning engineers or researchers who need a reliable and understandable SSD implementation to build upon or fine-tune for their projects.

object-detection computer-vision deep-learning image-analysis machine-learning-engineering

About SSD-pytorch

vietnh1009/SSD-pytorch

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

This project helps you train and use object detection models to identify and locate multiple objects within images or video streams. You provide raw image datasets, and the system outputs a trained model capable of detecting specific items. It is ideal for machine learning engineers, researchers, and students who need a straightforward implementation of the SSD architecture.

object-detection computer-vision image-analysis video-analysis deep-learning-research

Related comparisons

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