Related Objects of Interest: can, children, fire, smoke, background, glassbottle, paper, plasticbottle, plasticbottlecap, plasticfilm
Top Other Datasets and Models
The datasets below can be used to train fine-tuned models for other 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 other datasets below.
by Aladdin Inc
2278 images 8 classes
by Aladdin Inc
2233 images 8 classes
2569 images 8 classes
2045 images 6 classes
2045 images 6 classes
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 Aladdin Inc
3778 images 67 classes
by J
121 images 4 classes
9647 images 87 classes
Bicycle lane Bumps Bumps ahead Bus stop Camera operation zone Caution construction works ahead Caution damaged roads Caution drive slowly Caution flagman ahead Chevron (left) Chevron (right) Children Cow nearby Crossroad Crossroad on the left Crossroad on the right Crosswind area Danger Ahead Detourfollow arrow Double Bend to Left Ahead
by Test
9483 images 62 classes
Bicycle lane Bumps Bumps ahead Bus stop Camera operation zone Chevron (left) Chevron (right) Children Construction sign Cow nearby Crossroad Crossroad on the left Crossroad on the right Crosswind area Double Bend to Left Ahead Double Bend to Right Ahead Expressway signs 1 Expressway signs 2 Flagman ahead Give way
205 images 3 classes
200 images 55 classes
by Car damage
9129 images 31 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -15 and +15 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 26 27 28 29 30 ============================== Car-damage are annotated in YOLOv8 format.