arrow_drop_up0New Notebook file_downloadDownload more_vert fruit_dataData CardCode (1)Discussion (0)Suggestions (0)About Dataset No description available Usability info License CC0: Public Domain Expected update frequency Not specified Tags An error occurred: Unexpected end of JSON input lightbulb...
How we created the datasetFruits and vegetables were planted in the shaft of a low speed motor (3 rpm) and a short movie of 20 seconds was recorded.A Logitech C920 camera was used for filming the fruits. This is one of the best webcams available....
Date Fruit Dataset analyze Text Data Using Topic Models (https://www.mathworks.com/matlabcentral/fileexchange/112040-date-fruit-dataset-analyze-text-data-using-topic-models), MATLAB Central File Exchange. Retrieved January 21, 2025. MATLAB Release Compatibility Created with R2022a Compatible...
where ‘N’ denotes the size of the sample within the exposure dataset, ‘K’ stands for the count of SNPs, and ' R2’ signifies the fraction of variability accounted for by instrumental variables within said dataset; ' R2’ was calculated using the formula: $$\:{R}^{2}=2\times\:\le...
This dataset can be used to obtain a more in-depth and systematic understanding of the soil nutrient supply and leaf and fruit nutrient status of pear trees in the two major producing areas. This dataset can be analysed in a variety of ways, such as by correlation analysis of leaf mineral...
Classification of fruits on the NVIDIA Jetson Nano using TensorFlow. Tested on Jetson Nano but should work on other platforms as well. [...] For classifying anything we need a proper dataset. [...] I made my own dataset, a small one with 6 classes and a total of 600 images (100 for...
Transformer based fruits disease classification Article 16 April 2024 Fruit Classification Using Deep Convolutional Neural Network and Transfer Learning Chapter © 2022 FruitQ: a new dataset of multiple fruit images for freshness evaluation Article 28 June 2023 Data...
Recently, an artificial neural network (ANN) excelled above other models for the prediction of peach maturity based on a given dataset of non -destructive data, with the linear discriminant analysis ranking second, followed by logistic regression, gradient boosting machine, random forest, SVM, and...
However, the genomes used for data mining in this analysis were of markedly high quality, such that the absence of a gene is not due to lack of sequence information but reflects either gene loss or lineage specific WGD not shared by all taxa in the dataset. It is conceivable that more ...
Download SAM-HQ checkpoint from here (We recommend ViT-H HQ-SAM) into the Grounded-Segment-Anything folder. Done! Using FruitNeRF Now that FruitNeRF is installed you can start counting fruits! You can use your own data, our real or synthetic FruitNeRF Dataset or the Fuji Dataset. If you...