Related Objects of Interest: the following pre-processing was applied to each image:, ==============================, to find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com, * collaborate with your team on computer vision projects, visit https://github.com/roboflow/notebooks, no image augmentation techniques were applied., * annotate, and create datasets, * collect & organize images, * export, train, and deploy computer vision models, * understand and search unstructured image data
Top Applied Datasets and Models
The datasets below can be used to train fine-tuned models for applied 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 applied datasets below.
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 NEDUET
759 images 46 classes
* 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 ============================== Account No Carrier Column Customer Customer No Customer Order Date Customer PO Number Date Shipped Demo - v27 Terex Description Footer Section For state of the art Computer Vision training notebooks you can use with this dataset,
106 images 3398 classes
1158 images 57 classes
* 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 1 10(10pin) 10(4pin) 11 13 14 1400 15 16 17 18 19
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
by yadavwork
3182 images 20 classes
1-Main Building (Administrative Block) 10-Civil Engineering Department 11-University Aerospace Department 12-University Mechanical Workshop 13-Parking 14-Shaurya Diwar 15-University Ground 16-University Gym 17-University Canteens_Food Courts 18-Basket Ball Court 19-Badminton Court 2-Central Library 20-School of Applied and Life Science 3-Computer Center 4-University Auditorium 5-law college 6-Uttaranchal Institute of Pharmaceutical Sciences 7-Uttaranchal College of Nursing 8-School of Agriculture 9-Uttaranchal School of Computing Sciences
by TINIGOLD
9390 images 60 classes
No image augmentation techniques were applied. SIGN-LANGUAGE are annotated in YOLOv8 format. The dataset includes 6049 images. This dataset was exported via roboflow This dataset was exported via roboflow.com on December 4, 2023 at 5:01 PM GMT ako anim apat aral ate backspace backspace_fail_bro basa dalawa duktor hello hinto i love you ikaw inom
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
221 images 11 classes
4270 images 29 classes
ambulance bus motorcycle rickshaw * 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 19 ============================== 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 you The dataset includes 4263 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on June 19, 2023 at 1:18 PM GMT
by ElektroTeile
1237 images 144 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112 113
618 images 18 classes
0 1 2 3 4 5 6 7 8 9 ============================== It includes 604 images. No image augmentation techniques were applied. Numbers are annotated in YOLO v5 PyTorch format. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on May 4, 2022 at 9:38 AM GMT WaterMeter - v1 604 first step numbers
by nimdoc2
5030 images 43 classes
3279 images 28 classes
* 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 27 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied.
by recipeVision
1995 images 47 classes
* 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 time 22 23 24 25 26 27 28 29 30 31
by plural
2640 images 170 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112
by plural
3200 images 170 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112
by plural
3200 images 170 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112
by ttest
8487 images 54 classes
* 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 * Grayscale (CRT phosphor) * 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 and search unstructured image data * use active learning to improve your dataset over time 22 23 24 25 26 27 28 29 30
9967 images 18 classes
roundabout * 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 you The dataset includes 6646 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 December 9, 2023 at 12:52 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com Trafficsign Detection - v7 2023-12-09 1:50am Trafficsign are annotated in YOLOv8 format. visit https://github.com/roboflow/notebooks
by LZU
200 images 33 classes
car line pothole shoe * 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 20 21 23 24 25 26 27 ==============================