Related Objects of Interest: ==============================, * 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, female age- 1, female age- 2, female age- 22
Top 24 Computer Vision Models
The models below have been fine-tuned for various 24 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 24 detection model.
At the bottom of this page, we have guides on how to count 24s in images and videos.
by Henk Bert
2476 images 28 classes
by Palles
2477 images 28 classes
by yoloall
9987 images 127 classes
'Eating-Place' 'Falling-Rocks' 'Ferry' 'First-Aid-Post' 'Give-Way' 'Horn-Prohibited' 'Hospital' 'Hump' 'Left-Hair-Pin-Bend' 'Left-Reverse-Bend' 'Left-hand-curve' 'Light-Refreshment' 'Men-at-Work' 'Narrow-Bridge' 'Narrow-road-ahead' 'No-Parking' 'No-Stopping' 'No-Thorough-Road' 'No-Thorough-SideRoad' 'Parking-Lot-Cars'
by ingredients
9335 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
by school
674 images 200 classes
99 Original # 1 99 Original # 10 99 Original # 11 99 Original # 12 99 Original # 13 99 Original # 14 99 Original # 15 99 Original # 16 99 Original # 17 99 Original # 18 99 Original # 19 99 Original # 2 99 Original # 20 99 Original # 21 99 Original # 22 99 Original # 23 99 Original # 24 99 Original # 25 99 Original # 26 99 Original # 27
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