Related Objects of Interest: person, object, knife, bottle, bowl, cup, * 50% probability of horizontal flip, * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images
Top Other Computer Vision Models
The models below have been fine-tuned for various other 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 other detection model.
At the bottom of this page, we have guides on how to count others 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
2045 images 6 classes
2045 images 6 classes
by Esher Art
258 images 258 classes
E101-MC-Escher-No-101-Lizards-1956 E104-MC-Escher-No-104-Lizard-1959 E105-MC-Escher-No-105-Pegasus-1959 E107-MC-Escher-No-107-Fish-1960 E109-MC-Escher-No-109-Creeping-Creature-1961 E11-MC-Escher-No-11-Sea-Horse-1937-1938 E110-MC-Escher-No-110-BirdFish-1961 E124-MC-Escher-No-124-Lizard-1965 E126-MC-Escher-No-126-FishBird-1967 E15-MC-Escher-No-15-Lizard-1937 E17-MC-Escher-No-17-Eagle-1938 E18-MC-Escher-No-18-Two-Birds-1938 E20-MC-Escher-No-20-Fish-1938 E21-MC-Escher-No-21-IMP-1938 E22-MC-Escher-No-22-BirdFish-1938 E25-MC-Escher-No-25-Lizard-1939 E28-MC-Escher-No-28-Three-Birds-1938 E34-MC-Escher-No-34-BirdFish-1941 E34B-MC-Escher-No-34B-BirdFish-1941 E38-MC-Escher-No-38-Dragonfly-1941
960 images 6 classes
by susanti
2447 images 22 classes
object * 50% probability of horizontal flip * 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 20 ============================== 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 Signals are annotated in YOLO v5 PyTorch format. The dataset includes 2587 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 November 25, 2023 at 12:38 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
7421 images 6 classes
by Diploma 2023
3998 images 15 classes
by proyekmining
8944 images 7 classes
by supermarket
8944 images 7 classes
5302 images 4 classes
by RTU MIREA
9941 images 12 classes
1901 images 6 classes