ssd_keras and SSD-Tensorflow

ssd_keras
51
Established
SSD-Tensorflow
43
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 1,873
Forks: 925
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 4,107
Forks: 1,858
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License 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-Tensorflow

balancap/SSD-Tensorflow

Single Shot MultiBox Detector in TensorFlow

This tool helps developers implement object detection in images. You provide an image, and it outputs bounding box coordinates and classification labels for objects detected within that image. It's designed for machine learning engineers and researchers working on computer vision tasks.

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

Related comparisons

ssd_keras and SSD-pytorch ssd_keras and ssd_keras

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