Get a weekly rundown of the latest AI models and research... subscribe! https://aimodels.substack.com/

Resnet Tiny Beans

fxmarty

🎲

ResNet-Tiny-Beans is an image classification model that can identify different types of beans using deep learning techniques. It is based on the ResNet architecture, which is a popular convolutional neural network (CNN) architecture known for its performance in image recognition tasks. With this model, users can train and deploy an AI model that can accurately classify different bean varieties based on input images.

Use cases

ResNet-Tiny-Beans has several potential use cases for a technical audience. One possible use case is in agricultural research, where the model can be used to identify and classify different types of beans. This can help researchers in analyzing and understanding the variations and characteristics of different bean varieties. Another use case is in the food industry, where the model can be integrated into quality control systems to automatically classify and sort beans based on their variety. This can improve efficiency and accuracy in bean processing plants. Furthermore, the model can also be used in educational settings, where students and teachers can utilize it to learn about different types of beans and their specific qualities. Considering the practical uses of this model, it can be integrated into a mobile or web application that allows users to take pictures of beans and instantly classify them. This can be useful in situations where individuals want to identify a particular type of bean or when farmers want to quickly determine the variety of beans in their harvest. Additionally, this model can be leveraged in IoT (Internet of Things) applications, where cameras can be installed in bean storage facilities to automatically classify and sort beans based on their images. This can contribute to optimizing and automating the logistics of bean distribution.

image-classification

Pricing

Cost per run
$-
USD
Avg run time
-
Seconds
Hardware
-
Prediction

Creator Models

ModelCostRuns
Tiny Random Longformer$?35
Tiny Random Longformer Onnxtrue$?28
T5 Small Onnx$?4
Broken Onnx As Strided$?0
Netron Inspect Topmost Initializers$?0

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Resnet Tiny Beans model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Overview

Summary of this model and related resources.

PropertyValue
Creatorfxmarty
Model NameResnet Tiny Beans
Description
Platform did not provide a description for this model.
Tagsimage-classification
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs44,369
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$-
Prediction Hardware-
Average Completion Time-