Related Objects of Interest: ==============================, * 50% probability of horizontal flip, * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images, * export, train, and deploy computer vision models, * use active learning to improve your dataset over time, roboflow is an end-to-end computer vision platform that helps you, the following augmentation was applied to create 3 versions of each source image:, the following pre-processing was applied to each image:
Top 23 Computer Vision Models
The models below have been fine-tuned for various 23 detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own 23 detection model.
At the bottom of this page, we have guides on how to count 23s in images and videos.
by fire
9234 images 7 classes
============================== Fire Dettection - v2 2024-03-12 1:15pm Fire and Smoke Detection - v5 2023-09-30 4:18pm This dataset was exported via roboflow This dataset was exported via roboflow.com on September 30, 2023 at 9:23 AM GMT lighter - v4 2024-02-19 5:14pm stove Fire Detection - v1 2023-07-01 8:22pm
by kaushik
8015 images 78 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Random Gaussian blur of between 0 and 3.25 pixels * Randomly crop between 0 and 33 percent of the image * 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 100 120 21 22 23 24 25 26 27 28
by Amrutha
1720 images 26 classes
* 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) * 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 time 22 23 24 25 ============================== American Sign Language Letters - v1 v1