segmentation_models VS efficientnet-lite-keras

Compare segmentation_models vs efficientnet-lite-keras and see what are their differences.

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segmentation_models efficientnet-lite-keras
8 1
4,611 38
- -
0.0 0.0
4 months ago about 1 year ago
Python Python
MIT License Apache License 2.0
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.

segmentation_models

Posts with mentions or reviews of segmentation_models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

efficientnet-lite-keras

Posts with mentions or reviews of efficientnet-lite-keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-03.

What are some alternatives?

When comparing segmentation_models and efficientnet-lite-keras you can also consider the following projects:

nnUNet

ssd_keras - A Keras port of Single Shot MultiBox Detector

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.

pytorch2keras - PyTorch to Keras model convertor

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

tpu - Reference models and tools for Cloud TPUs.

unet - unet for image segmentation

nobuco - Pytorch to Keras/Tensorflow conversion made intuitive