Formats
OpenAI CLIP Classification
Classification
IMPORTEXPORT
FEATURED
Classification

OpenAI CLIP Classification

CLIP is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning.

Overview

In January 2021 OpenAI released CLIP (Contrastive Language-Image Pre-Training), a zero-shot classifier that leverages knowledge of the English language to classify images without having to be trained on any specific dataset. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.

The results are extremely impressive; we have put together a CLIP tutorial and a CLIP Colab notebook for you to experiment with the model on your own images. We've made slight modifications to make "prompt" engineering easier by extracting it into a configuration file and have automatically generated starter prompts for all of our public datasets. You can use Roboflow to generate this config file to try your own classification or object detection datasets with CLIP.

Format Description

Below, learn the structure of OpenAI CLIP Classification.

_tokenization.txt
An example picture from the Hard Hat dataset depicting a man wearing a hard-hat
An example picture from the Hard Hat dataset depicting several men wearing hard-hats
An example picture from the Hard Hat dataset depicting several people, some wearing hard hats
An example picture from the Hard Hat dataset depicting several people

Split and Merge Datasets

With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in OpenAI CLIP Classification. Read our dedicated guides to learn how to merge and split OpenAI CLIP Classification detections.

Split detections in OpenAI CLIP Classification

No items found.

Merge detections in OpenAI CLIP Classification

No items found.

Supported Models

Below, see model architectures that require data in the OpenAI CLIP Classification format when training a new model.

On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.

OpenAI CLIP

CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.
Classification
Deploy with Roboflow
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•
21.4k+
stars
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MIT
license
•
Released
Jan 5, 2021

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Formats
OpenAI CLIP Classification

What is OpenAI CLIP Classification?

In January 2021 OpenAI released CLIP (Contrastive Language-Image Pre-Training), a zero-shot classifier that leverages knowledge of the English language to classify images without having to be trained on any specific dataset. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.

The results are extremely impressive; we have put together a CLIP tutorial and a CLIP Colab notebook for you to experiment with the model on your own images. We've made slight modifications to make "prompt" engineering easier by extracting it into a configuration file and have automatically generated starter prompts for all of our public datasets. You can use Roboflow to generate this config file to try your own classification or object detection datasets with CLIP.

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OpenAI CLIP Classification

Below, we show how to convert data to and from

OpenAI CLIP Classification

. We also list popular models that use the

OpenAI CLIP Classification

data format. Our conversion tools are free to use.

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Convert Data to OpenAI CLIP Classification

Use Roboflow to convert
OpenAI CLIP Classification
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:
‍

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Convert Data from OpenAI CLIP Classification

Use Roboflow to convert the following formats to
OpenAI CLIP Classification
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:
‍

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

YOLOv8 PyTorch TXT
to
OpenAI CLIP Classification
Pascal VOC XML
to
OpenAI CLIP Classification
COCO JSON
to
OpenAI CLIP Classification
YOLO Darknet TXT
to
OpenAI CLIP Classification
CreateML JSON
to
OpenAI CLIP Classification
SuperAnnotate JSON
to
OpenAI CLIP Classification
LabelMe JSON
to
OpenAI CLIP Classification
Google Cloud AutoML Vision CSV
to
OpenAI CLIP Classification
Sagemaker GroundTruth Manifest
to
OpenAI CLIP Classification
Supervisely JSON
to
OpenAI CLIP Classification
LabelBox JSON
to
OpenAI CLIP Classification
Scale AI JSON
to
OpenAI CLIP Classification
VGG Image Annotator JSON
to
OpenAI CLIP Classification
VGG Image Annotator CSV
to
OpenAI CLIP Classification
LabelBox Video JSON
to
OpenAI CLIP Classification
VoTT CSV
to
OpenAI CLIP Classification
VoTT JSON
to
OpenAI CLIP Classification
IBM Cloud Annotations JSON
to
OpenAI CLIP Classification
Unity Perception JSON
to
OpenAI CLIP Classification
OIDv4 TXT
to
OpenAI CLIP Classification
YOLO Keras TXT
to
OpenAI CLIP Classification
RetinaNet Keras CSV
to
OpenAI CLIP Classification
OpenImages CSV
to
OpenAI CLIP Classification
Tensorflow Object Detection CSV
to
OpenAI CLIP Classification
Multiclass Classification CSV
to
OpenAI CLIP Classification
Cogniac
to
OpenAI CLIP Classification
Kaggle Wheat CSV
to
OpenAI CLIP Classification
Udacity TXT
to
OpenAI CLIP Classification
Marmot XML
to
OpenAI CLIP Classification
Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
OpenAI CLIP Classification
data format
.

What computer vision models use OpenAI CLIP Classification?

The

OpenAI CLIP

,

models all use the

OpenAI CLIP Classification

data format.

OpenAI CLIP

CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.

To see our entire list of computer vision models, check out the Roboflow Model Library.
_tokenization.txt
An example picture from the Hard Hat dataset depicting a man wearing a hard-hat
An example picture from the Hard Hat dataset depicting several men wearing hard-hats
An example picture from the Hard Hat dataset depicting several people, some wearing hard hats
An example picture from the Hard Hat dataset depicting several people
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