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Top Are Datasets and Models
The datasets below can be used to train fine-tuned models for are 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 are datasets below.
by James Mixon
5399 images 73 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -5 and +5 degrees * Randomly crop between 0 and 30 percent of the image * Resize to 640x352 (Fit within) * Salt and pepper noise was applied to 0 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 0 1 10 100 1000 10th Spot 11 12 13
761 images 15 classes
bus pickup truck * collect & organize images * export, train, and deploy computer vision models * understand unstructured image data BUS Deteksi Jenis Kendaraan (foto dari jalan) - v5 2022-08-05 4:27pm It includes 780 images. Mobil Mobil Sedan This dataset was exported via roboflow.com on January 4, 2023 at 9:31 AM GMT Tipe-mobil are annotated in YOLO v5 PyTorch format. mini bus truck1
by NEDUET
759 images 46 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 17 ============================== Account No Carrier Column Customer Customer No Customer Order Date Customer PO Number Date Shipped Demo - v27 Terex Description Footer Section For state of the art Computer Vision training notebooks you can use with this dataset,
by Digital ERG
2366 images 32 classes
license plate 1 Explosives 1-1 Explosives Products with the potential to create a mass explosion 1-2 Explosives Products with the potential to create a projectile hazard 1-3 Explosives Products with the potential to create a fire or minor blast 1-4 Explosives Products with no significant risk of creating a blast 1-5 Explosives Products considered very insensitive that are used as blasting agents 1-6 Explosives Products considered extremely insensitive with no risk to create a mass explosion 2 Oxygen 2-1 Flammable gases 2-2 Nonflammable gases 2-3 Toxic gases 3 Combustible 3 Flammable 3 Flammable and combustible liquids 3 Flammable liquid 4-1 Flammable solids 4-2 Spontaneously combustible 4-3 Dangerous when wet 5-1 Oxidizing substances
by Tangents
1233 images 7 classes
106 images 3398 classes
by ELEC5308
4201 images 62 classes
10 km/h Speed Limit 100 km/h Speed Limit 20 km/h Speed Limit 30 km/h Speed Limit 40 km/h Speed Limit 50 km/h Speed Limit 60 km/h Speed Limit 80 km/h Speed Limit Added Lane (left) Advisory speed 20 Bicycle Lane Bicycles Only Bus Lane Curve to left Curve to right End Clearway End Roadwork End of Shared Zone End of road Curve marker Give Way to Pedestrians
by ELEC5308
4201 images 44 classes
10 km/h Speed Limit 100 km/h Speed Limit 20 km/h Speed Limit 30 km/h Speed Limit 40 km/h Speed Limit 50 km/h Speed Limit 60 km/h Speed Limit 80 km/h Speed Limit Added Lane (left) Advisory speed 20 Bicycle Lane Bicycles Only Bus Lane End Clearway End of Shared Zone Give way Give way at roundabout Island curve marker (right) Keep Left Keep Right
by TFT
558 images 275 classes
1158 images 57 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 1 10(10pin) 10(4pin) 11 13 14 1400 15 16 17 18 19
by HADJEM
1238 images 103 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -1 and +1 percent * Random rotation of between -1 and +1 degrees * Random shear of between -1° to +1° horizontally and -0° to +0° 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 22 23 24 25 26 27 28 29 30
by ddd
488 images 20 classes
pool "License" shall mean the terms and conditions for use, reproduction, 100 20 200Egp 50 five on behalf of whom a Contribution has been received by Licensor and other entities that control, are controlled by, or are under common source, and configuration files. ten that such additional attribution notices cannot be construed تليفزيون حمام سباحة زجاجة سلالم غساله كرسى كمبيوتر كنبة
by TINIGOLD
9390 images 60 classes
No image augmentation techniques were applied. SIGN-LANGUAGE are annotated in YOLOv8 format. The dataset includes 6049 images. This dataset was exported via roboflow This dataset was exported via roboflow.com on December 4, 2023 at 5:01 PM GMT ako anim apat aral ate backspace backspace_fail_bro basa dalawa duktor hello hinto i love you ikaw inom
179 images 9 classes
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