All Projects → kingreza → Seefood

kingreza / Seefood

Licence: lgpl-3.0
Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

Programming Languages

swift
15916 projects
swift4
162 projects

Projects that are alternatives of or similar to Seefood

Coremlimage
A demo of creating your own CoreML model
Stars: ✭ 13 (-97.08%)
Mutual labels:  xcode9, coreml
iOS11-Demos
Collection of samples and demos of features introduced in iOS 11
Stars: ✭ 16 (-96.4%)
Mutual labels:  xcode9, coreml
Coremlstyletransfer
A simple demo for Core ML and Style Transfer
Stars: ✭ 30 (-93.26%)
Mutual labels:  xcode9, coreml
Pinto model zoo
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
Stars: ✭ 634 (+42.47%)
Mutual labels:  caffe, coreml
BabelCamera
Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀
Stars: ✭ 13 (-97.08%)
Mutual labels:  xcode9, coreml
Deepdetect
Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+418.2%)
Mutual labels:  caffe, image-classification
List-CoreML-Models
A Big Awesome List CoreML Models.
Stars: ✭ 120 (-73.03%)
Mutual labels:  caffe, coreml
Coremldemo
A simple demo for Core ML
Stars: ✭ 90 (-79.78%)
Mutual labels:  xcode9, coreml
nsfw api
Python REST API to detect images with adult content
Stars: ✭ 71 (-84.04%)
Mutual labels:  caffe, image-classification
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 di…
Stars: ✭ 16 (-96.4%)
Mutual labels:  image-classification, coreml
Mmdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Stars: ✭ 5,472 (+1129.66%)
Mutual labels:  caffe, coreml
Ios 11 By Examples
👨🏻‍💻 Examples of new iOS 11 APIs
Stars: ✭ 3,327 (+647.64%)
Mutual labels:  xcode9, coreml
Awesome Coreml Models
Largest list of models for Core ML (for iOS 11+)
Stars: ✭ 5,192 (+1066.74%)
Mutual labels:  caffe, coreml
Netron
Visualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+3763.6%)
Mutual labels:  caffe, coreml
Have Fun With Machine Learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Stars: ✭ 4,912 (+1003.82%)
Mutual labels:  caffe, image-classification
deep-parking
Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
Stars: ✭ 81 (-81.8%)
Mutual labels:  caffe, image-classification
Caffe Android Demo
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
Stars: ✭ 254 (-42.92%)
Mutual labels:  caffe, image-classification
Unsplashexplorer Coreml
Core ML demo app with Unsplash API
Stars: ✭ 358 (-19.55%)
Mutual labels:  xcode9, coreml
Deepnetsforeo
Deep networks for Earth Observation
Stars: ✭ 393 (-11.69%)
Mutual labels:  caffe
Metaoptnet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Stars: ✭ 412 (-7.42%)
Mutual labels:  image-classification

SeeFood

For a step by step guide on how to build SeeFood: How to train your own model for CoreML.

demo.
Video Demo

Follw me on Twitter

Prerequisites:

Xcode 9 (currently Version 9.0 beta 3 (9M174d)).
The trained CoreML data model which can be downloaded here.
An iOS device running iOS 11+.

Setup:

Import the data model downloaded from the link above and build.

Credit:

This model is a retrained AlexNet (Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton) Caffe model using Food-101 (Lukas Bossard, Matthieu Guillaumin, Luc Van Gool) dataset.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].