Related Objects of Interest: horizontal crack, vertical crack, crack, diagonal crack, slanted, * 50% probability of horizontal flip, ==============================, the following augmentation was applied to create 3 versions of each source image:, the following pre-processing was applied to each image:, * annotate, and create datasets
Top Horizontal Computer Vision Models
The models below have been fine-tuned for various horizontal detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own horizontal detection model.
At the bottom of this page, we have guides on how to count horizontals in images and videos.
by tiu research
1768 images 4 classes
by gfd
2196 images 4 classes
by Tius
2467 images 4 classes
by gfd
1321 images 4 classes
980 images 4 classes
by tiu research
653 images 4 classes
655 images 58 classes
Apical Lesion Apical lesion Artifical crown Braces Buccoangular Impacted tooth Calculus Canal obliteration Class 1 cavity filling Class 2 cavity filling Class 3 cavity filling Class 4 cavity filling Class 5 cavity filling Convergent root Cystic lesion Decidious teeth Dilaserasgon Distoangular Impacted tooth Divergent root Endodontically treated teeth External Object
by as
3128 images 4 classes
247 images 4 classes
1863 images 4 classes
131 images 6 classes
by PID Connect
1065 images 181 classes
3 Way Ball Valve 3 Way Gate Valve 3 Way Globe Valve 4 Way Ball Valve 4 Way Gate Valve Alkyalation Angle Blowdown Angle GlobeValve Angle Valve Automatic Stoker Axial Compressor Axical COMP BackPressure Regulator Balance Diaphragm Gate Valve Ball Valve Bleeder Valve Boom Loader Butterfly Valve Cavity Pump Centrifugal Blower
1994 images 37 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Resize to 180x300 (Stretch) * Salt and pepper noise was applied to 1 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
by dsad
7635 images 86 classes
object * 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random Gaussian blur of between 0 and 1.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random brigthness adjustment of between -30 and +30 percent * Random rotation of between -23 and +23 degrees * Resize to 640x640 (Stretch) * 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 28 29 30
by ECE4300
1605 images 24 classes
object * 50% probability of horizontal flip * 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 ============================== Animal detect - v2 2023-04-25 3:38pm Animals are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, Person dataset - v3 2023-11-16 1:52am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 269 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.com on April 25, 2023 at 10:09 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
1717 images 4 classes
3006 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (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 23 24 25 26 27 28 29 30
by blah
739 images 59 classes
46 Apical Lesion Apical lesion Artifical crown Braces Buccoangular Impacted tooth Calculus Canal obliteration Class 1 cavity filling Class 2 cavity filling Class 3 cavity filling Class 4 cavity filling Class 5 cavity filling Convergent root Cystic lesion Decidious teeth Dilaserasgon Distoangular Impacted tooth Divergent root Endodontically treated teeth
1553 images 17 classes
by kaushik
8015 images 78 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Random Gaussian blur of between 0 and 3.25 pixels * Randomly crop between 0 and 33 percent of the image * 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 100 120 21 22 23 24 25 26 27 28
by npuws
330 images 20 classes
3006 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) 13 14 15 16 17 18 19 20 21 22 23 24 25 26