Related Objects of Interest: ==============================, roboflow is an end-to-end computer vision platform that helps you, this dataset was exported via roboflow, * 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, * auto-orientation of pixel data (with exif-orientation stripping)
Top This Datasets and Models
The datasets below can be used to train fine-tuned models for this detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the this datasets below.
by CV Project
4641 images 5 classes
by ning
80 images 33 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Grayscale (CRT phosphor) * Resize to 224x224 (Fit within) * 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 21 22 23 24 25 26 27 28 29 31
by Dretn
1193 images 80 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random exposure adjustment of between -15 and +15 percent * Random rotation of between -15 and +15 degrees * Random shear of between -15° to +15° horizontally and -15° to +15° vertically * 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 24 25 26 27 28 29 30
1760 images 38 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random shear of between -15° to +15° horizontally and -15° to +15° vertically * Resize to 416x416 (Stretch) * Salt and pepper noise was applied to 4 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 21 22 23 24 25 26 27 28 29 30
3163 images 33 classes
9572 images 6 classes
by ANPR
4000 images 32 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
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 Noor MTiti
1360 images 1103 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 001020 0022HWT 003351 019913 0202T 0202ZB 0202ZBF 0254GTF 0309GYT 0311 037NIH 0391KRR 03950 0418JLJ
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 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 Yolov5
3899 images 6 classes
by SPILL
1003 images 19 classes
car Api Kebakaran Asap Bulb and Lamp detection - v5 2022-11-08 9:54pm Damage Building - v3 2024-05-22 7:43pm Hewan Keamanan Keretakan Orang Tidur Pekerja Lapangan This dataset was exported via roboflow This dataset was exported via roboflow.com on June 28, 2023 at 8:18 AM GMT hard-hat-off hard-hat-on keretakan light-off light-on sarasmoke - v1 2023-06-23 7:25am sleep detection - v4 2024-05-27 12:29pm
by ss1
5574 images 17 classes
bus car motorcycle object person traffic light tree truck ============================== Packages-V4 - v7 Final- No augmentation This dataset was exported via roboflow This dataset was exported via roboflow.com on December 6, 2023 at 7:10 PM GMT UpdatedDataset - v13 2023-05-01 6:19pm VehicleYolo - v1 2023-04-30 6:47pm fitree - v1 2023-12-03 1:06pm undefined vechile
7195 images 74 classes
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
3655 images 16 classes
object * 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 ============================== Bottle Can 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 This dataset was exported via roboflow.com on March 27, 2023 at 9:36 AM GMT detect can - v1 2023-03-25 12:01pm milk - v7 2022-06-23 11:26am visit https://github.com/roboflow/notebooks
9494 images 14 classes
- 0 1 2 3 ============================== Blemish Disease Lettuce - v2 2024-03-07 3:25am Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow This dataset was exported via roboflow.com on April 21, 2024 at 4:26 PM GMT This dataset was exported via roboflow.com on April 21- 2024 at 4-26 PM GMT Unknown