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Performance of the MobileNet V2 food exposure model on test data.

NIAID Data Ecosystem2026-03-14 收录

数据链接：

https://figshare.com/articles/dataset/Performance_of_the_MobileNet_V2_food_exposure_model_on_test_data_/22341932 数据链接链接失效反馈

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资源简介：

Performance of the MobileNet V2 food exposure model on test data.

应用场景：

创建时间：

2023-03-27

食物图像识别

数据集特征表示

该数据集包含图像和标签两个主要特征，标签部分详细列出了101种不同的食物类别，如苹果派、婴儿背肋、巴克拉瓦等。此外，数据集还包含一个名为rizom_latents的序列特征，其数据类型为float32。数据集分为训练集和验证集，训练集包含75,750个样本，验证集包含25,250个样本。数据集的下载大小为15,821,956,747字节，总大小为15,214,775,672字节。

Hugging Face2024-04-11 更新230

mcding-org/CorrectDPO-Eval-DPP_Q0.5B_PP10_beta0.10p0.30pi0.30

机器学习评估

模型性能测试

--- dataset_info: config_name: ab2 features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: response dtype: string - nam

Hugging Face2024-05-20 更新120

DX703-KB-JC-DT/food-dataset-cleaned

食物图像识别

食品分类

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': apple_pie '1': baby_back_ribs '2': baklav

Hugging Face2026-03-31 更新70

open-llm-leaderboard/details_Devio__testC

跨学科知识

模型性能测试

--- pretty_name: Evaluation run of Devio/testC dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Devio/testC](https://huggingface.co/Devio/testC) on the [Open LL

Hugging Face2023-09-02 更新170

Multimodal-Fatima/Food101_train_embeddings

食物图像识别

机器学习

--- dataset_info: features: - name: image dtype: image - name: id dtype: int64 - name: vision_embeddings sequence: float32 splits: - name: openai_clip_vit_large_patch14 num

Hugging Face2023-04-26 更新100

Performance of the MobileNet V2 food exposure model on test data.

资源简介：

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