CoolFace
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places365

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Models

All models matching “places365”
litert-community /Places365-ResNet18-LiteRTimage-classificationLiteRT0 likes263 downloads16d agoHugging Facebirder-project /rope_vit_reg4_b14_capi-places365image-classificationbirder1 likes18 downloads1y agoHugging Facecorenet-community /places365-224x224-vit-base1 likes2y agoHugging Facecorenet-community /places365-224x224-vit-large0 likes2y agoHugging Facecorenet-community /places365-224x224-vit-huge0 likes2y agoHugging Facepratap4dev /resnet50-places365gated0 likes10mo agoHugging Faceridalefdali /places365_classification_embeddings0 likes4mo agoHugging Facenilnguyen2k /mit67_resnet50_places3650 likes1mo agoHugging Face

Datasets

All datasets matching “places365”
ljnlonoljpiljm /places365-256pximage1M<n<10M2 likes2.1k downloads2y agoHugging FaceAndron00e /Places365-customimage1M<n<10M5 likes2.1k downloads3y agoHugging Facezlab-princeton /i1-places365-challenge2016-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu Princeton University [arXiv][code][model][project page] Overview To prepare the dataset for training, we store the image-caption pairs as TFRecords. This HuggingFace dataset contains the TFRecords corresponding to the places365-challenge2016 dataset at 256×256 resolution. It also serves as an example of what a dataset… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/i1-places365-challenge2016-tfrecord.text-to-image0 likes1.9k downloads1mo agoHugging Facei1-datasets /i1-places365-challenge2016-512-resolution-1m-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu Princeton University [arXiv][code][model][project page] Overview To prepare the dataset for training, we store the image-caption pairs as TFRecords. This HuggingFace dataset contains the TFRecords corresponding to the places365-challenge2016 dataset at 512×512 resolution. Concretely, we only retain raw images with a shorter… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-places365-challenge2016-512-resolution-1m-tfrecord.text-to-image0 likes1.7k downloads1mo agoHugging FaceAndron00e /Places365-custom-trainimage1M<n<10M1 likes587 downloads3y agoHugging Facedpdl-benchmark /Places365-Validationimage10K<n<100K0 likes497 downloads1y agoHugging Face