Hugging Face model: Alas-V/ConvNeXt-Food-CLF-75
Author: Alas-V
Created: 2026-07-08 15:30:40
Last modified: 2026-07-23 14:30:24
Pipeline: image-classification
Library: timm
Likes: 1 | Downloads: 243
Tags: timm, pytorch, safetensors, machine-learning, computer-vision, architecture, cnn, classification, image-classification, food-classification, f1-score, precision, convnext, convnext-tiny, food-ai, multi-class-classification, multi-label-classification, multi-label-image-classification, multi-label, food-recognition, fine-tuning, feature-extraction, embeddings, transfer-learning, transfer-learning-with-cnn, attention-mechanism, cbam, cbam-cnn, cbam-attention, gem-pooling, food-ingredients, food-dataset, dataset-preparation, mm-food-100k, dataset-cleaning, cpu-inference, gpu-inference, huggingface, huggingface-models, huggingface-hub, model-hub, ml, ml-model, ml-architecture, model-architecture, inference, model-optimization, backbone, pretrained-model, pretrained-weights, imagenet-pretrained, timm-library, torchvision, foodtech, benchmark, research, production, deployment, open-source, en, dataset:Codatta/MM-Food-100K, dataset:Humanbased-AI/MM-Food-100K, license:apache-2.0, model-index, region:us
Card metadata:
license: apache-2.0
datasets: Codatta/MM-Food-100K, Humanbased-AI/MM-Food-100K
metrics: f1, map, precision, accuracy
base_model: timm/convnext_tiny
pipeline_tag: image-classification
tags: machine-learning, computer-vision, architecture, cnn, pytorch, classification, image-classification, food-classification, f1-score, precision, convnext, convnext-tiny, food-ai, multi-class-classification, multi-label-classification, multi-label-image-classification, multi-label, food-recognition, fine-tuning, feature-extraction, embeddings, transfer-learning, transfer-learning-with-cnn, attention-mechanism, cbam, cbam-cnn, cbam-attention, gem-pooling, food-ingredients, food-dataset, dataset-preparation, mm-food-100k, dataset-cleaning, cpu-inference, gpu-inference, huggingface, huggingface-models, huggingface-hub, model-hub, ml, ml-model, ml-architecture, model-architecture, inference, model-optimization, backbone, pretrained-model, pretrained-weights, imagenet-pretrained, timm-library, torchvision, foodtech, benchmark, research, production, deployment, open-source
language: en
library_name: timm