Top This Datasets and Models
The datasets below can be used to train fine-tuned models for this 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 this datasets below.
by Prolifics
100 images 9 classes
* collaborate with your team on computer vision projects ============================== Lower Axis Middle Axis Roboflow is an end-to-end computer vision platform that helps you Robot - v5 2022-11-03 12:24pm This dataset was exported via roboflow.com on February 27, 2023 at 9:10 AM GMT Upper Axis YOLOv5 robots_axis - v5 2022-12-14 9:39am
7212 images 7 classes
by CV Project
4641 images 5 classes
by Binus
3400 images 14 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 ============================== Flower Detection - v2 2022-05-18 4:51pm 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 This dataset was exported via roboflow.com on November 22, 2023 at 12:24 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com images visit https://github.com/roboflow/notebooks
by LaMaSaVe
8860 images 7 classes
object ============================== Bicycle - v3 2023-10-07 2:30pm COCO_Capstone - v1 2023-05-18 12:47pm Emegency Vehicle detection - v3 2023-10-27 10:18am Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on November 5, 2023 at 1:16 AM GMT
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
by ANPR
4000 images 32 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 19 20 21 22 23 24 25 26 27 28 29 30
4148 images 74 classes
4148 images 74 classes
by mini project
9334 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
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