Related Objects of Interest: close distance, half-superman, move between the cars, superman, plate, * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images, * understand and search unstructured image data, roboflow is an end-to-end computer vision platform that helps you
Top Between Datasets and Models
The datasets below can be used to train fine-tuned models for between detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the between datasets below.
by NEEVD
1966 images 1882 classes
bicycle building debris dustbin motorcycle scooter skateboard stop sign traffic light trailer tree umbrella 100kph speed limit 100kph speed limit sign 40kph speed limit for trucks and buses sign 40kph speed limit sign 50kph speed limit sign 50mph speed limit sign 60kph speed limit sign 70kph speed limit for all other vehicles sign
by James Mixon
5399 images 73 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -5 and +5 degrees * Randomly crop between 0 and 30 percent of the image * Resize to 640x352 (Fit within) * Salt and pepper noise was applied to 0 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 0 1 10 100 1000 10th Spot 11 12 13
by osmando
706 images 1342 classes
animal car drink mushroom rock wine glass 2 bottles on a rock next to fruit in front of orange background. 2 brown paper boxes in front of light brown background 2 cream bottles in front of blue tiles 2 macarons on a rock block in front of light orange background 3 black bottles next to yellow stairs and dry flower with shadow 3 blue bottles on blue plates next to dry nuts 3 bottles in front of light background with shadows 3 bottles in front of light brown background with shadows. 3 bottles in front of light gray background with shadows of a plant. 3 boxes in front of dark background 3 perfume bottles on reflective gray surface 4 paper boxes in front of light yellow background 4 potteries on a marble table 6 white bowls of spices on a wooden surface
106 images 3398 classes
by HADJEM
1238 images 103 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -1 and +1 percent * Random rotation of between -1 and +1 degrees * Random shear of between -1° to +1° horizontally and -0° to +0° vertically * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 22 23 24 25 26 27 28 29 30
1654 images 5 classes
by Smarkt
1814 images 134 classes
Aachi Back Aachi Front Aarambg instruction Aarambh back Aarambh front Aarambh side Aarambh top with only text Aashirvaad back Aashirvaad front Amul Garlic Back Amul Garlic Front Amul Unsalted Back Amul Unsalted front BRU top Bikhaneri back Bikhaneri front Bru barcode + text Bru label + barcode Bru label + text Camlin 2 images
by Robo10
450 images 9 classes
1329 images 4 classes
1320 images 5 classes
1320 images 5 classes
1320 images 5 classes
1320 images 5 classes
1857 images 5 classes
by osmando
128 images 165 classes
black and white hands touching each other black and white hands touching each other [in] bottle on female arm bottle with hand in background female hand with jewelry [in] female hands female hands holding a skincare bottle five hands reaching toward each other four hands holding together four hands reaching to each other glass bottle on female body hand applying cream hand applying cream closeup hand applying cream on shoulder hand applying cream to finger tip hand applying cream to finger tip [in] hand applying cream to finger tip [out] hand applying skincare cream on a wooden stool hand applying skincare cream on a wooden stool [in] hand applying skincare cream on a wooden stool [out]
1320 images 4 classes
by go4av05
8659 images 40 classes
* Random Gaussian blur of between 0 and 2.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -25 and +25 percent * Salt and pepper noise was applied to 5 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 17 18 19 20 21 22 23 24 25 26
223 images 1 classes
1775 images 4 classes
1775 images 5 classes
by college
3480 images 27 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 2.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 14 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 22 23 24 25 26 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Road Sign Detector - v7 Add blur and noise Roboflow is an end-to-end computer vision platform that helps you
1760 images 38 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random shear of between -15° to +15° horizontally and -15° to +15° vertically * Resize to 416x416 (Stretch) * Salt and pepper noise was applied to 4 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 21 22 23 24 25 26 27 28 29 30
by Naer
5759 images 40 classes
* Random brigthness adjustment of between -25 and +25 percent * Salt and pepper noise was applied to 5 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * understand and search unstructured image data 21 22 23 A B C D E F G H I Isyarat - v2 2023-05-09 12:25am J
by Naer
8478 images 53 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Grayscale (CRT phosphor) * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -25 and +25 percent * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 2 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 24 25 26 27 28 29 30 31