Top Stretch Datasets and Models
The datasets below can be used to train fine-tuned models for stretch detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
Object Detection
3.48k images·1 model·20
* 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 time2223242526==============================For state of the art Computer Vision training notebooks you can use with this dataset,Road Sign Detector - v7 Add blur and noiseRoboflow is an end-to-end computer vision platform that helps you
Object Detection
3.52k 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
10.9k images
carcathammerplantpoleropescissorsscrewtraywrench- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random rotation of between -10 and +10 degrees- Resize to 640x640 (Stretch)- Salt and pepper noise was applied to 1-33 percent of pixels- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time100101102
Object Detection
8.21k images·1 model
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 5 pixels* 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 time1232527282930313334
Object Detection
6.11k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 416x416 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Litter are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youTACO - v3 YOLOv5The dataset includes 6004 images-The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks
Object Detection
711 images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time21222324==============================AI-Based Intelligent Disease Det - v4 ROBO TEST TRAININGFish are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 781 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks
Object Detection
9.98k images
Instance Segmentation
1.77k images
Object Detection
1.67k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 416x416 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 560 images-The following pre-processing was applied to each image:Traffic Sign - v1 1st VersionVehicle are annotated in YOLOv8 format-street - v1 2021-12-15 8:42pmvisit https:--github-com-roboflow-notebooks
Object Detection
1.72k images·1 model·1
* 50% probability of horizontal flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 1.25 pixels* Random brigthness adjustment of between -25 and +25 percent* Random rotation of between -5 and +5 degrees* Random shear of between -5° to +5° horizontally and -5° to +5° vertically* Randomly crop between 0 and 20 percent of the image* Resize to 416x416 (Stretch)1516171819202122232425==============================
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
9.97k images·3 models
Object Detection
10.4k images·1 model
meat* 50% probability of horizontal flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random rotation of between -15 and +15 degrees* Randomly crop between 0 and 20 percent of the image* 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 time1-6lQ6-ini4 are annotated in YOLOv11 format.22232425262728
Object Detection
4.26k images·1 model
Object Detection
238 images
Object Detection
476 images
Object Detection
8.83k images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random Gaussian blur of between 0 and 2.5 pixels* 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 time2122==============================Cars are annotated in YOLOv9 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 16020 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 June 9, 2024 at 3:48 PM GMT
Object Detection
3.59k images
- Random Gaussian blur of between 0 and 3-7 pixels- Random brigthness adjustment of between -21 and +21 percent- Resize to 1920x1080 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time202122232425262728294 - v2 2025-12-04 4:47pm4 are annotated in YOLOv8 format-==============================Roboflow is an end-to-end computer vision platform that helps you
Object Detection
3.23k images
doorwheel- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time19==============================Car parts - v1 2023-12-04 3:21pmCar-parts are annotated in YOLOv8 format-Leg spaceNo image augmentation techniques were applied-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 3208 images-The following pre-processing was applied to each image:center consoledashboardinfotainmentseat
Object Detection
1.14k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 512x512 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Cars are annotated in YOLOv8 format-Daiatsu_CoreDaiatsu_HijetDaiatsu_MiraFAW_V2FAW_XPVHonda_BRVHonda_City_aspireHonda_GraceHonda_VezellHonda_city_1994Honda_city_2000Honda_civic_1994Honda_civic_2005
Object Detection
6.81k images·1 model
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random brigthness adjustment of between -25 and +25 percent- Randomly crop between 0 and 20 percent of the image- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time2324252627==============================AlfaceAvocadoAzeitonaBananaBatataBroculoCarne
Object Detection
8.21k images·2 models
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random brigthness adjustment of between -25 and +25 percent- Randomly crop between 0 and 20 percent of the image- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time2324252627==============================Comida - v7 2025-11-11 10:43amFood - v1 2024-12-17 1:23pmFood - v3 2024-06-18 9:01amFood items - v1 2023-04-12 4:06amRes-pollo-cerdo-pescado-camaron are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 7010 images-
Object Detection
12.5k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time20212223242526==============================Door detection - v3 2022-07-13 5:49pmObstacle are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 4259 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:obstacle detection - v1 2025-01-03 4:22pm
Object Detection
22.2k images
Object Detection
14.9k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time202122232425==============================Hands are annotated in YOLO v5 PyTorch format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 14881 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:asl - v1 2024-07-12 6:02amvisit https:--github-com-roboflow-notebooks
Object Detection
1.73k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random Gaussian blur of between 0 and 1-25 pixels- Random brigthness adjustment of between -25 and +25 percent- Random rotation of between -5 and +5 degrees- Random shear of between -5° to +5° horizontally and -5° to +5° vertically- Randomly crop between 0 and 20 percent of the image- Resize to 416x416 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time25==============================American Sign Language Letters - v1 v1Letters are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 1728 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks
Object Detection
7.48k images·1 model
catdog* 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 time19202122==============================For state of the art Computer Vision training notebooks you can use with this dataset,Fruits-phones-bottles-books are annotated in YOLOv8 format.No image augmentation techniques were applied.Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 7509 images.
Object Detection
126k images
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
3.8k images
Object Detection
80 images·1 model·1
* 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, upside-down* Random rotation of between -15 and +15 degrees* Resize to 416x416 (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 unstructured image data* use active learning to improve your dataset over time2021222324252627
Instance Segmentation
5.9k images
- 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 time------------------------------For state of the art Computer Vision training notebooks you can use with this dataset-Litter are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youTACO - v3 YOLOv5The dataset includes 6004 images-The following pre-processing was applied to each image-This dataset was exported via roboflow-com on January 26- 2023 at 2-58 PM GMTTo find over 100k other datasets and pre-trained models- visit https---universe-roboflow-comvisit https---github-com-roboflow-notebooks