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, right
Top In Datasets and Models
The datasets below can be used to train fine-tuned models for in 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 in datasets below.
by Laxav
1800 images 27 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 0 13 16 18 21 25 3 5 ============================== A American Sign Language Letters - v1 v1 For state of the art Computer Vision training notebooks you can use with this dataset,
by dhruti
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) 15 16 17 18 19 20 21 22 23 24 25 ==============================
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * 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 unstructured image data * use active learning to improve your dataset over time 22 23 24 25 ============================== American Sign Language Letters - v1 v1
by Amrutha
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * 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 unstructured image data * use active learning to improve your dataset over time 22 23 24 25 ============================== American Sign Language Letters - v1 v1
by GemWasat
520 images 26 classes
* 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 21 22 23 24 25 ============================== 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 SSL Detection - v5 ssl-detection Sibilang are annotated in YOLOv8 format.
720 images 4 classes
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
4417 images 302 classes
555 Sardines in Tomato Sauce 555 Tuna Afritada 555 Tuna Caldereta 7UP Absolute Pure Distilled Drinking Water Alaska Classic Sweetened Condensed Filled Milk Alaska Condensada Alaska Evaporada All Natural Seasons Tropical Fruit Angel All Purpose Creamer Apple Aqua Life Filtration Systems Argentina Corned Beef Argentina Giniling Argentina Meat Loaf Bear Brand Fortified Powdered Drink Milk Bear Brand Swak Pack Chocomilk Bell Pepper Bingo Double Choco Bingo Orange Cream
by Naer
8478 images 53 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Grayscale (CRT phosphor) * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -25 and +25 percent * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 2 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 24 25 26 27 28 29 30 31
by sr
840 images 8 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 896x896 (Stretch) ============================== Fruits and Thumb detection - v5 v5 for yolov4 darknet Fruits-and-Thumb are annotated in YOLO v5 PyTorch format. It includes 859 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on April 15, 2022 at 7:08 AM GMT
by testing
680 images 8 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) ============================== Fruits and Thumb detection - v1 yolov5_v1 Fruits-and-Thumb are annotated in YOLO v5 PyTorch format. It includes 687 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on March 4, 2022 at 12:38 PM GMT
35 images 2 classes
by Academic
132 images 78 classes
7 Up 600 ml 7 up in can A&W Rootbeer Beverages Blue Cucumber Blue Lychee C2 Apple Green Tea C2 Classic Green Tea C2 Lemon Green Tea C2 yellow Cobra Berry Blast Cobra with Ginkgo Bloba Coca-Cola Coca-Cola 500 ml cherry coke Coca-Cola 500 ml light Coca-Cola 500 ml regular Coca-Cola 500 ml zero Coca-Cola Light 1.5L Coca-Cola Original Coca-Cola light in can
by ChadCalibjo
72 images 40 classes
7 Up 7 Up bottle Plastic Arcys Root Beer Bottle Plastic Blue Cucumber Blue Lychee Blue Water C2 Apple C2 Green Tea Cobra Red Cobra Yellow Green Coke Light 1.5 liter Coke Regular Bottl Plactic Coke Zero Bottle Plastic Coke Zero1.5 liter Cola Light Cola Reg Cola zero Del Monte Pineapple Distilled Water Gatorade Purple
600 images 48 classes
elephant fox monkey pig tiger * 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
by Classifier
6677 images 33 classes
Century-Tuna-Hot-and-Spicy-155g Century-Tuna-Hot-and-Spicy-180g Cheese-Ring Choc-o Creamy-Seafood Great-Taste-Premium Growers Kopiko-Black-3-in-1 Kopiko-Blanka Kopiko-Brown-Coffee Lady_s-Choice-Chicken-Spread Lady_s-Choice-Sandwich-Spread Mang-Juan-Chik_n-Skin Milo-Zero-Sugar Minute-Maid-Orange Minute-Maid-Orange-Big Minute-Maid-Orange-Mango Mountain-Dew Mountain-Dew-Zero Nescafe-Classic
by f
86 images 46 classes
Bus stop Cycle track Dip Filling station Guarded level crossing ahead Height limit-3.5m Hotel Keep left Level crossing countdown marker Narrow road Ngã Ba No Left turn No entry No entry for Trucks No entry for bicycles No entry for motor vehicles No entry for pedestrians No parking No passing No vehicles in both directions
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
818 images 6 classes