TFLiteClassification VS TFLiteSegmentation

Compare TFLiteClassification vs TFLiteSegmentation and see what are their differences.

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TFLiteClassification TFLiteSegmentation
1 1
1 6
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0.0 0.0
about 3 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TFLiteClassification

Posts with mentions or reviews of TFLiteClassification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-08.

TFLiteSegmentation

Posts with mentions or reviews of TFLiteSegmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-08.

What are some alternatives?

When comparing TFLiteClassification and TFLiteSegmentation you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

keras_cv_stable_diffusion_to_tflite - Scripts for converting Keras CV Stable Diffusion to tflite

rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation

automl - Google Brain AutoML

PAWS-TF - Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.

node-efficientnet - tensorflowJS implementation of EfficientNet 🚀

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.

tflitego - tflitego provide a simple and clear solution to use TensorFlow lite in Go. Our objective is provide a cohesive API, simplicity related to TensorFlow Lite C API connection and maintainability.