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, 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, to find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Top The Computer Vision Models
The models below have been fine-tuned for various the 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 the detection model.
At the bottom of this page, we have guides on how to count thes in images and videos.
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 benny
300 images 100 classes
ACEITE_DE_OLIVA_ESPONAL_CARBONELL ALMOND TOSCANI ARDMONA CHOPPED TOMATOES ARNOTTS_JATZ_CRACKED_PEPPER ARNOTTS_PREMIER_CHOC CHIP & NUT COOKIES ASPRO CLEAR BEANS_MEXICAN CHILLI BOAGS STGEORGE BRITA BRITA MARELLA COOL BUCKWHEAT CENOVIS_WOMENS MULTI VITAMINS&MINERALS COLES RELIANCE COLES_PEACH_SLICES COLGATE SENSITIVE COOLABAH_DRY_RED DAIRY_MILK DANDELION_NATURAL_COFEE_ALTERNATIVE EASEACOLD EXTRA VIRGIN OLIVE OIL ALTIC TRADITIONAL
by Rush220
1600 images 30 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Museum are annotated in YOLOv8 format. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1617 images. This dataset was exported via roboflow.com on April 14, 2024 at 4:59 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com archaeology books decorative-and-applied-arts documents graphics mineralogy museum-objects - v3 2024-04-14 1:28am
by testing
4773 images 22 classes
button field image label text * 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 1900 images. This dataset was exported via roboflow.com on April 4, 2023 at 4:34 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com UI Components Detection - v2 2023-02-01 11:24pm heading iframe
by unicloudorg
8099 images 497 classes
by kam
2109 images 39 classes
736 images 22 classes
410 images 11 classes
by DLProject
9271 images 249 classes
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
80 images 10 classes
by db
3960 images 15 classes
3368 images 61 classes
Bend-To-The-Left Camera-operation-zone Chevron-to-the-left Chevron-to-the-right Clearway-No-Stopping Crossroad Crosswinds Curve-Ahead Detour-to-the-left-sign Detour-to-the-right-sign Diverge Divided-road-begins Divided-road-ends Dosmetic-Animal-Crossing Exit-To-The-Left Exit-to-the-right Give-way-Priorty Go-straight-or-turn-left Heavy-vehicles-prohibited-in-the-right-lane Height-Limit
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
by Raj Das
6040 images 36 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 18 19 20 21 22 23 24 25 26 27 28 29 30
by Crickets
6558 images 52 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -15 and +15 degrees * 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 23 24 25 26 27 28 30 31 32 33
by TSR
2930 images 44 classes
Ahead only Beware of ice-snow Bicycles crossing Bumpy road Children crossing Dangerous curve to the left Dangerous curve to the right Double curve End of all speed and passing limits End of no passing End of no passing by vehicles over 3 End of no passing by vehicles over 3.5 metric tons End of speed limit -80 km-h- General caution Go straight or left Go straight or right Keep left Keep right No entry No passing