Search Results for class:yolo-training-data
Object Detection
3.23k images·18
tank* 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==============================For state of the art Computer Vision training notebooks you can use with this dataset,Roboflow is an end-to-end computer vision platform that helps youThis dataset was exported via roboflow.com on October 11, 2023 at 8:22 AM GMTYOLO-Military - v1 2023-10-11 10:48amvisit https://github.com/roboflow/notebooks
Object Detection
2.45k images·1 model
object* 50% probability of horizontal flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time20==============================For state of the art Computer Vision training notebooks you can use with this dataset,Roboflow is an end-to-end computer vision platform that helps youSignals are annotated in YOLO v5 PyTorch format.The dataset includes 2587 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 November 25, 2023 at 12:38 AM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Object Detection
2.41k images·1 model
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time1 peso1-peso10peso10pesos_Front20 peso20 pesos20 peso20 pesos20 pesos_Front20peso5 peso==============================
Object Detection
80 images·1 model·2
* 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 time5_ are annotated in YOLO v5 PyTorch format.==============================For state of the art Computer Vision training notebooks you can use with this dataset,KPU - v11 2024-04-16 12:36amRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 84 images.This dataset was exported via roboflow.com on April 16, 2024 at 5:05 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooks
Object Detection
9k images·1 model·6
* 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 time100101102103104105106107108109110111112
Object Detection
2.72k images
* 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==============================For state of the art Computer Vision training notebooks you can use with this dataset,Merged_new_dataset - v1 2024-07-13 6:21pmNetra are annotated in YOLO v5 PyTorch format.Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 2751 images.The following pre-processing was applied to each image:This dataset was exported via roboflow.com on July 13, 2024 at 6:21 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooks
Object Detection
9.95k images·1 model·2
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 5 pixels* Random exposure adjustment of between -20 and +20 percent* Random rotation of between -10 and +10 degrees* Random shear of between -15° to +15° horizontally and -15° to +15° 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 time2324252627282930
Object Detection
1.96k images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time19202122232425==============================For state of the art Computer Vision training notebooks you can use with this dataset,No image augmentation techniques were applied.Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 2143 images.
Object Detection
200 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 160x160 (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 time010304050709192021222324
Classification
2.24k images·1 model·2
freshobject* 50% probability of horizontal flip* 50% probability of vertical flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 640x640 (Stretch)* annotate, and create datasets* annotate, and create datasets * collect & organize images* annotate, and create datasets * understand and search unstructured image data* 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 time21222323 242425
Object Detection
6.76k images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 2.5 pixels* Random brigthness adjustment of between -15 and +15 percent* Salt and pepper noise was applied to 0.1 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 time0 - v2 2024-03-18 9:44am0 are annotated in YOLO v7 PyTorch format.2122232425262728
Object Detection
8.66k images·1 model·2
* 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 time17181920212223242526
Object Detection
4.24k images·1 model
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time192021222324252627282930
Object Detection
3.72k images·1 model·32
crack* 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==============================BlockageBrokenBroken are annotated in YOLO v5 PyTorch format.CollapsedDripperFor state of the art Computer Vision training notebooks you can use with this dataset,FracturesGas-PipeInfiltrationPilePitch-FiberRoboflow is an end-to-end computer vision platform that helps you
Object Detection
7.87k images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random rotation of between -15 and +15 degrees* 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 time2122232425262728293031
Object Detection
135 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 data1920212223242627282930For state of the art Computer Vision training notebooks you can use with this dataset,No image augmentation techniques were applied.
Object Detection
2k images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random rotation of between -15 and +15 degrees* Random rotation of between -37 and +37 degrees* 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 time22232425262728293031
Object Detection
9.99k images
* Random brigthness adjustment of between -25 and +25 percent* Random exposure adjustment of between -24 and +24 percent* Random rotation of between -3 and +3 degrees* Random shear of between -6° to +6° horizontally and -6° to +6° vertically* Salt and pepper noise was applied to 10 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 time232425262728293031
Object Detection
220 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time19202122232425262728==============================For state of the art Computer Vision training notebooks you can use with this dataset,
Object Detection
5.16k images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 1 pixels* 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 time2021222324252627282930
Object Detection
80 images
* 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 time5_ are annotated in YOLO v5 PyTorch format.==============================For state of the art Computer Vision training notebooks you can use with this dataset,KPU - v11 2024-04-16 12:36amRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 84 images.This dataset was exported via roboflow.com on April 16, 2024 at 5:05 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooks
Object Detection
504 images
* 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 time100101102103104105106107108109110111112113
Object Detection
9.4k images
Object Detection
960 images·5
* 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==============================For state of the art Computer Vision training notebooks you can use with this dataset,Roboflow is an end-to-end computer vision platform that helps youSurgical-tools are annotated in YOLO v5 PyTorch format.The dataset includes 972 images.This dataset was exported via roboflow.com on March 11, 2023 at 12:50 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comsurgical tool detection - v3 2023-03-11 6:19pmvisit https://github.com/roboflow/notebooks
Object Detection
2.8k images
* 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==============================Coin - v1 Coins DetectionCoins are annotated in YOLO v5 PyTorch format.For state of the art Computer Vision training notebooks you can use with this dataset,Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 2815 images.The following pre-processing was applied to each image:This dataset was exported via roboflow.com on April 14, 2024 at 6:21 AM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooks
Object Detection
480 images
* 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==============================For state of the art Computer Vision training notebooks you can use with this dataset,Ic-jjNK are annotated in YOLO v5 PyTorch format.PCB00 - v10 2024-08-15 1:58amRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 500 images.This dataset was exported via roboflow.com on August 15, 2024 at 1:59 AM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooks
Object Detection
projact_f_w
by a
1.18k images
Object Detection
1.36k images·1 model·2
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time192021222324252627282930
Object Detection
4.55k images·2
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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==============================Ball are annotated in YOLO v7 PyTorch format.For state of the art Computer Vision training notebooks you can use with this dataset,Robocon 2024 training - v2 2024-05-01 10:32pmRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 4572 images.The following pre-processing was applied to each image:This dataset was exported via roboflow.com on May 28, 2024 at 1:21 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooks
Object Detection
1.99k images·1 model·1
* 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 time2425262728293031
Instance Segmentation
560 images·1 model·1
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time11121314151617181920212223
Object Detection
1.24k images
- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Pure Tank - v1 training yoloRoboflow is an end-to-end computer vision platform that helps youTank are annotated in YOLO26 format-The dataset includes 1036 images-The following pre-processing was applied to each image:undefinedvisit https:--github-com-roboflow-notebooks
Object Detection
4.69k images·7
buscarmotorbiketruckvan* 50% probability of horizontal flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random exposure adjustment of between -15 and +15 percent* Random rotation of between -5 and +5 degrees* Random shear of between -15° to +15° horizontally and -15° to +15° 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 time232425
Object Detection
438 images
* 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==============================For state of the art Computer Vision training notebooks you can use with this dataset,Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 445 images.This dataset was exported via roboflow.com on November 13, 2024 at 9:56 AM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comvisit https://github.com/roboflow/notebooksyolo - v5 2024-11-13 9:55am
Object Detection
480 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time192021222324252627282930
Object Detection
356 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time192021222324252627282930
Object Detection
4.79k images·1 model·5
* 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, upside-down* 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 time222324252627282930
Object Detection
2.38k images
* 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 time181920==============================Animals - v29 2024-05-04 3:46pmAnimals are annotated in YOLO v5 PyTorch format.For state of the art Computer Vision training notebooks you can use with this dataset,No image augmentation techniques were applied.Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 2456 images.The following pre-processing was applied to each image:This dataset was exported via roboflow.com on May 4, 2024 at 7:46 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Object Detection
1.61k images·1 model·6
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time192021222324252627282930
Object Detection
4.24k images·1
* Auto-orientation of pixel data (with EXIF-orientation stripping)* 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 time192021222324252627282930
Object Detection
1.44k images
bagcablechairdogdoorsofatable* 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 timeBedCatsDeskTable are annotated in YOLO v5 PyTorch format.DeskTableLamps Material - v6 2024-04-19 4:32pmFor state of the art Computer Vision training notebooks you can use with this dataset,No image augmentation techniques were applied.Roboflow is an end-to-end computer vision platform that helps you
Object Detection
6.22k images
airplane-- 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 timeAirplaneFor state of the art Computer Vision training notebooks you can use with this dataset-HelicopterPersonRoboflow is an end-to-end computer vision platform that helps youTankThis dataset was exported via roboflow-com on October 11- 2023 at 8-22 AM GMTVehicleYOLO-Military - v1 2023-10-11 10-48amvisit https-github-com-roboflow-notebooks
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