matlab-deep-learning/pretrained-efficientdet-d0
Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.
This tool helps engineers and researchers using MATLAB to quickly identify and categorize objects within images, like people, cars, or traffic lights. You feed it an image, and it outputs the detected objects with bounding boxes and labels. It's designed for professionals working with computer vision tasks who need to leverage powerful object detection without building models from scratch.
No commits in the last 6 months.
Use this if you need to detect common objects in images using a pre-trained, high-performance model within your MATLAB workflow or adapt it for your specific custom object detection tasks.
Not ideal if your primary development environment is not MATLAB or you require a deeply customized object detection architecture not based on EfficientDet-D0.
Stars
17
Forks
4
Language
MATLAB
License
—
Category
Last pushed
Nov 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/matlab-deep-learning/pretrained-efficientdet-d0"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
broadinstitute/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
alankbi/detecto
Build fully-functioning computer vision models with PyTorch
sovit-123/fasterrcnn-pytorch-training-pipeline
PyTorch Faster R-CNN Object Detection on Custom Dataset
kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
lufficc/SSD
High quality, fast, modular reference implementation of SSD in PyTorch