自动图像字幕的任务是产生能正确反映图像视觉内容的自然语言(通常是句子)。 到目前为止,最常用于此任务的资源是,其中包含约120,000张图像和5路图像标题注释(由付费注释者生成)。 Google的“概念字幕”数据集包含超过300万张图像,以及自然语言字幕。 与MS-COCO图像的精选样式相比,Conceptual Captions图像及其原始描述是...
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We present a new dataset of image caption annotations, Conceptual Captions, which contains an order of magnitude more im- ages than the MS-COCO dataset (Lin et al., 2014) and represents a wider variety of both images and image caption styles. We achieve this by extracting and filtering im...
Place data from:https://ai.google.com/research/ConceptualCaptions/downloadin this folder Train_GCC-training.tsvTraining Split (3,318,333) Validation_GCC-1.1.0-Validation.tsvValidation Split (15,840) Test Split (~12,500) human approved image caption pairs is not public. ...
zahid-isu / spatialCLIP Public forked from vinid/neg_clip Notifications Fork 0 Star 0 Files main .github docs CLIP.png Interacting_with_open_clip.ipynb clip_conceptual_captions.md clip_loss.png clip_recall.png clip_val_loss.png clip_zeroshot.png effective_robustness.png laion2b_clip_...
Since Google has got the images from different websites, what is the ownership status of images? Does google own the images? In other words, are we allowed to use these images freely without knowing the license of the original images?
clip_conceptual_captions.md clip_loss.png clip_recall.png clip_val_loss.png clip_zeroshot.png clipa.md clipa_acc_compute.png clipa_reduce_image_token.png clipa_reduce_text_token.png datacomp_models.md effective_robustness.png inverse_scaling_law.png laion2b_clip_zeroshot_b32.png laion_cl...