Coreml And Vision With A Pre Trained Deep Learning Ssd Model
This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ssdmobilenet_coreml | 134 | 5 years ago | mit | Swift | ||||||
| Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml | ||||||||||
| Coreml And Vision With A Pre Trained Deep Learning Ssd Model | 15 | 5 years ago | 1 | mit | Swift | |||||
| This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class. | ||||||||||
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Swift
Machine Learning
Computer Vision
Object Detection
Image Classification
Ssd
Image Recognition
Coreml