Related Objects of Interest: ==============================, the following pre-processing was applied to each image:, * 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, * use active learning to improve your dataset over time, roboflow is an end-to-end computer vision platform that helps you, * 50% probability of horizontal flip
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
120 images 5 classes
by York
246 images 27 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 0.5 pixels * Random brigthness adjustment of between -16 and +16 percent * Random exposure adjustment of between -6 and +6 percent * Resize to 600x600 (Fit (white edges)) 15 16 17 18 19 20 21 ============================== Chocolates are annotated in YOLO v5 PyTorch format. Dark Marzipan It includes 267 images. Milk California Brittle
9000 images 184 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112
by test
1720 images 7 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) ============================== Gestures are annotated in YOLO v5 PyTorch format. Hand Gesture - v6 2022-05-09 11:16am It includes 2011 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on May 9, 2022 at 5:59 AM GMT
by test
1720 images 7 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) ============================== Gestures are annotated in YOLO v5 PyTorch format. Hand Gesture - v6 2022-05-09 11:16am It includes 2011 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on May 9, 2022 at 5:59 AM GMT
by nasa
279 images 13 classes
* 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 ============================== Chess-pieces are annotated in YOLO v5 PyTorch format. It includes 289 images. Roboflow is an end-to-end computer vision platform that helps you The following pre-processing was applied to each image: This dataset was exported via roboflow.com on August 30, 2022 at 10:18 AM GMT chess pieces - v2 release
by gammafest24
80 images 15 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 5_ are annotated in YOLO v5 PyTorch format. ============================== For state of the art Computer Vision training notebooks you can use with this dataset, KPU - v11 2024-04-16 12:36am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 84 images. This dataset was exported via roboflow.com on April 16, 2024 at 5:05 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
by dsdfas
80 images 15 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 5_ are annotated in YOLO v5 PyTorch format. ============================== For state of the art Computer Vision training notebooks you can use with this dataset, KPU - v11 2024-04-16 12:36am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 84 images. This dataset was exported via roboflow.com on April 16, 2024 at 5:05 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
by nina
245 images 31 classes
chocolate * 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 0.5 pixels * Random brigthness adjustment of between -16 and +16 percent * Random exposure adjustment of between -6 and +6 percent * Resize to 600x600 (Fit (white edges)) 15 16 17 18 19 20 21 ============================== Chocolates are annotated in YOLO v5 PyTorch format. It includes 267 images. The following augmentation was applied to create 5 versions of each source image:
by chocolate
244 images 31 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 0.5 pixels * Random brigthness adjustment of between -16 and +16 percent * Random exposure adjustment of between -6 and +6 percent * Resize to 600x600 (Fit (white edges)) -black chocolate -brown chocolate -gift chocolate -wave chocolate -white chocolate 15 16 17 18 19 20 21
by test
599 images 7 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) ============================== Aquarium Combined - v2 raw-1024 Creatures are annotated in YOLO v5 PyTorch format. It includes 638 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on November 18, 2020 at 7:55 PM GMT
4240 images 46 classes
* 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 19 20 21 22 23 24 25 26 27 28 29 30