Universe

Top Universe Datasets and Models

The datasets below can be used to train fine-tuned models for universe detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

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provided by a roboflow userlicense: cc by 4-0- collaborate with your team on computer vision projectsroboflow is an end-to-end computer vision platform that helps you- use active learning to improve your dataset over time
My First Project project thumbnail
Classification

My First Project

by Demo2

2.12k images
- Auto-contrast via contrast stretching- Auto-contrast via contrast stretching - collaborate with your team on computer vision projects- Auto-contrast via contrast stretching - collaborate with your team on computer vision projects - use active learning to improve your dataset over time 48 ==============================- Auto-contrast via contrast stretching - collaborate with your team on computer vision projects - use active learning to improve your dataset over time ==============================- Auto-contrast via contrast stretching - collaborate with your team on computer vision projects 48- Auto-contrast via contrast stretching 48 57- Auto-contrast via contrast stretching 48 57 ==============================- Auto-contrast via contrast stretching 48 57 ============================== No image augmentation techniques were applied-- Auto-contrast via contrast stretching 48 57 ============================== No image augmentation techniques were applied- The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 48 57 ============================== The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 48 57 No image augmentation techniques were applied- The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 48 57 The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 48 ============================== No image augmentation techniques were applied-- Auto-contrast via contrast stretching 48 ============================== No image augmentation techniques were applied- The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 48 ============================== The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 57 ==============================- Auto-contrast via contrast stretching 57 ============================== No image augmentation techniques were applied- The following pre-processing was applied to each image:- Auto-contrast via contrast stretching 57 No image augmentation techniques were applied- The following pre-processing was applied to each image:- Auto-contrast via contrast stretching ============================== No image augmentation techniques were applied-- Auto-contrast via contrast stretching ============================== The following pre-processing was applied to each image:
Helmet and Vest Project project thumbnail
Classification

Helmet and Vest Project

by AAST

2.1k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch) - annotate, and create datasets - understand and search unstructured image data 22 24- Resize to 640x640 (Stretch) - annotate, and create datasets - understand and search unstructured image data 22 24 25- Resize to 640x640 (Stretch) - annotate, and create datasets - understand and search unstructured image data 24- Resize to 640x640 (Stretch) - annotate, and create datasets 22 24- Resize to 640x640 (Stretch) - annotate, and create datasets 24- Resize to 640x640 (Stretch) - annotate, and create datasets 24 The following pre-processing was applied to each image:- Resize to 640x640 (Stretch) - understand and search unstructured image data 22 24- Resize to 640x640 (Stretch) - understand and search unstructured image data 25 VEST are annotated in YOLOv8 format-- Resize to 640x640 (Stretch) - understand and search unstructured image data The dataset includes 2127 images- VEST are annotated in YOLOv8 format-- Resize to 640x640 (Stretch) 20 24- Resize to 640x640 (Stretch) 22 24- Resize to 640x640 (Stretch) 22 24 25- Resize to 640x640 (Stretch) 24- Resize to 640x640 (Stretch) 24 25- Resize to 640x640 (Stretch) 24 visit https:--github-com-roboflow-notebooks- annotate, and create datasets - use active learning to improve your dataset over time 24- annotate, and create datasets 24- collaborate with your team on computer vision projects- collaborate with your team on computer vision projects ============================== Roboflow is an end-to-end computer vision platform that helps you
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