Top Https Datasets and Models
The datasets below can be used to train fine-tuned models for https detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
Object Detection
9.34k images·3 models·2
* 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 time2324252627282930
Object Detection
126k images
Object Detection
3.36k images·1
* Auto-contrast via contrast stretching* 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 shear of between -14° to +14° horizontally and -15° to +15° vertically* Resize to 800x800 (Stretch)* Salt and pepper noise was applied to 1.13 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 time100101102103104105106107
Object Detection
126k images·1 model
Object Detection
1.45k images
cardboardmetalpaperplastic* 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==============================For state of the art Computer Vision training notebooks you can use with this dataset,PCB_component_detection - v1 2024-04-14 11:37amPcb-tChf are annotated in YOLOv8 format.Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 12736 images.The following pre-processing was applied to each image:This dataset was exported via roboflow
Instance Segmentation
8.21k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time192021222324==============================No image augmentation techniques were applied-Objects are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 8352 images-The following pre-processing was applied to each image:final dataset - v5 2026-02-19 12:29amvisit https:--github-com-roboflow-notebooks
Instance Segmentation
10.4k images
- Auto-contrast via adaptive equalization- Auto-orientation of pixel data (with EXIF-orientation stripping)- Grayscale (CRT phosphor)- Randomly crop between 0 and 20 percent of the image- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================My First Project - v3 2025-07-06 2:51pmObjects are annotated in YOLOv8 format-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 11105 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks
Object Detection
1.24k images
- Auto-contrast via adaptive equalization- Auto-orientation of pixel data (with EXIF-orientation stripping)- Grayscale (CRT phosphor)- Random Gaussian blur of between 0 and 1 pixels- Randomly crop between 0 and 20 percent of the image- Resize to 640x640 (Stretch)- Salt and pepper noise was applied to 1-96 percent of pixels- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time262728==============================A-b-c are annotated in YOLOv11 format-Innovate grind - v7 2025-03-23 2:02pmRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 1240 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:
Object Detection
398 images
Object Detection
projact_f_w
by a
1.18k images
Object Detection
1.77k images
- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Alcohol Content - v1 2026-01-03 5:02pmRoboflow is an end-to-end computer vision platform that helps youundefinedvisit https:--github-com-roboflow-notebooks
Object Detection
1.2k images
- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Hands Seals Naruto - v1 2026-02-17 5:12pmRoboflow is an end-to-end computer vision platform that helps youvisit https:--github-com-roboflow-notebooks
Object Detection
20.1k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random Gaussian blur of between 0 and 2 pixels- Random Gaussian blur of between 0 and 4-25 pixels- Random brigthness adjustment of between -20 and 0 percent- Random exposure adjustment of between -32 and +32 percent- Random rotation of between -45 and +45 degrees- Randomly crop between 0 and 20 percent of the bounding box- Resize to 640x640 (Stretch)- Salt and pepper noise was applied to 5 percent of pixels- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time1920212223242526
Object Detection
6.47k images
- Auto-contrast via histogram equalization- Random exposure adjustment of between -8 and +8 percent- Random shear of between -10° to +10° horizontally and -10° to +10° vertically- Salt and pepper noise was applied to 1-96 percent of pixels- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time21222324252627282930==============================MDP - v2 2025-02-02 11:26pmMDP-1-31 are annotated in YOLOv11 format-
Object Detection
65 images·1
https:--www-flickr-com-photos-10352740@N03-15381549936https:--www-flickr-com-photos-107233269@N08-18441450840https:--www-flickr-com-photos-46318025@N06-7671459570https:--www-flickr-com-photos-49112619@N04-4534806435https:--www-flickr-com-photos-54998581@N08-5246617962https:--www-flickr-com-photos-58789412@N00-17575884663https:--www-flickr-com-photos-58789412@N00-5765173293https:--www-flickr-com-photos-65547107@N05-6133989710https:--www-flickr-com-photos-69353231@N02-9049204690https:--www-flickr-com-photos-76316120@N02-16276869707https:--www-flickr-com-photos-95900291@N07-9040237050https:--www-flickr-com-photos-96587401@N00-301105832https:--www-flickr-com-photos-alancleaver-2429564150https:--www-flickr-com-photos-alexkerhead-2783532178https:--www-flickr-com-photos-art_es_anna-293874552https:--www-flickr-com-photos-artbystevejohnson-6307151365https:--www-flickr-com-photos-bansal98-2318844984https:--www-flickr-com-photos-bellergy-4045851079https:--www-flickr-com-photos-billbooz-4893312583https:--www-flickr-com-photos-blunt1-415038768
Object Detection
23k images·1 model
- Auto-contrast via contrast stretching- Random brigthness adjustment of between -30 and +30 percent- Random rotation of between -15 and +15 degrees- Random shear of between -10° to +10° horizontally and -10° to +10° vertically- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time21222324252627282930313233
Classification
3.4k images·1 model·3
* 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==============================Flower Detection - v2 2022-05-18 4:51pmFor 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 youThis dataset was exported via roboflow.com on November 22, 2023 at 12:24 PM GMTTo find over 100k other datasets and pre-trained models, visit https://universe.roboflow.comimagesvisit https://github.com/roboflow/notebooks
Object Detection
563 images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- collaborate with your team on computer vision projects- understand and search unstructured image data192021222324==============================Construction Site Safety - v30 raw-images_latestversionNo image augmentation techniques were applied-Roboflow is an end-to-end computer vision platform that helps youThe dataset includes 717 images-The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks
Object Detection
169 images·1 model
- Auto-contrast via adaptive equalization- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time==============================Duong danh cho otoDuong danh cho oto conDuong danh cho xe mayDuong giao nhau chay theo vong xuyenDuong xe tho soHet doan duong chay cho xe otoHet han che toc do toi thieuHet khu dong dan cuHuong di thang phai theoKhu dong dan cuKhu vuc di boKhu vuc do xangKhu vuc do xeLan duong danh cho tung loai xeNguoi di bo cat ngang
Instance Segmentation
692 images
* 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* Equal probability of one of the following 90-degree rotations: none, clockwise, upside-down* Random Gaussian blur of between 0 and 1.6 pixels* Random Gaussian blur of between 0 and 10.2 pixels* Random brigthness adjustment of between -40 and +40 percent* Random brigthness adjustment of between -53 and +53 percent* Random exposure adjustment of between -27 and +27 percent* Random exposure adjustment of between -41 and +41 percent* Random rotation of between -35 and +35 degrees* Random rotation of between -45 and +45 degrees* Random shear of between -16° to +16° horizontally and -22° to +22° vertically* Random shear of between -37° to +37° horizontally and -29° to +29° vertically* Randomly crop between 22 and 61 percent of the bounding box* Randomly crop between 5 and 18 percent of the image* Resize to 640x640 (Stretch)* Salt and pepper noise was applied to 0.81 percent of pixels* Salt and pepper noise was applied to 4.62 percent of pixels
Object Detection
8.04k images·1 model
Instance Segmentation
606 images·1 model
object==============================@misc{-glass_damage_datasetCrack_detection - v7 2024-02-07 3:25pmauthor-=-{-aaditi-}howpublished-=-{-\url{-https://universe.roboflow.com/aaditi/glass_damage-}-}journal-=-{-Roboflow-Universe-}month-=-{-dec-}note-=-{-visited-on-2024-04-21-}publisher-=-{-Roboflow-}title-=-{-glass_damage-Dataset-}type-=-{-Open-Source-Dataset-}url-=-{-https://universe.roboflow.com/aaditi/glass_damage-}year-=-{-2023-}}
Object Detection
3.21k images
personvest* 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==============================Construction Site Safety - v28 YOLOv5sFor state of the art Computer Vision training notebooks you can use with this dataset,Gloves-Helmet-vest-Glass are annotated in YOLOv11 format.HelmetRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 481 images.The following pre-processing was applied to each image:This dataset was exported via roboflow.com on February 1, 2023 at 4:08 PM GMTThis dataset was exported via roboflow.com on October 17, 2024 at 9:40 AM GMT
Object Detection
1.72k images·3
* 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==============================Cattle - v1 2023-04-19 2:49pmFor 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 youThis dataset was exported via roboflow.com on May 16, 2023 at 2:10 AM GMTvisit https://github.com/roboflow/notebooks
Object Detection
9.88k images·1 model·1
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Random rotation of between -20 and +20 degrees* 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 time2021222324252627282930
Object Detection
659 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Equal probability of one of the following 90-degree rotations: none, counter-clockwise* Resize to 650x500 (Fit within)* annotate, and create datasets* collaborate with your team on computer vision projects* export, train, and deploy computer vision models* use active learning to improve your dataset over time100101102103104105106107108109110111112
Object Detection
595 images
roundaboutslippery roadtraffic signal* 50% probability of vertical flip* 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 data100120293039405058606366
Object Detection
697 images
Object Detection
2.02k images
- Random brigthness adjustment of between -25 and +25 percent- Random rotation of between -15 and +15 degrees- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time202122232425==============================A are annotated in YOLOv8 Oriented Object Detection format-Bisindo - v2 2025-10-29 3:12pmGNRoboflow is an end-to-end computer vision platform that helps youThe dataset includes 2478 images-The following augmentation was applied to create 3 versions of each source image:
Object Detection
35.6k images
- isar_object_detection > 2025-06-02 11:59am- isar_object_detection > 2025-06-02 2:26pm- isar_object_detection > 2025-06-02 4:02pm- isar_object_detection > 2025-06-03 11:06am- isar_object_detection > 2025-06-03 3:33pm- isar_object_detection > 2025-06-03 9:55am- isar_object_detection > 2025-06-04 10:29am- isar_object_detection > 2025-06-04 5:09pm- isar_object_detection > 2025-06-05 11:26am- isar_object_detection > 2025-06-05 11:33am- isar_object_detection > 2025-06-05 11:41am- isar_object_detection > 2025-06-05 12:27pm- isar_object_detection > 2025-06-05 12:36pm- isar_object_detection > 2025-06-05 1:35pm- isar_object_detection > 2025-06-05 1:44pm104567
Object Detection
6.04k images·2 models·24
* 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* understand and search unstructured image data* use active learning to improve your dataset over time18192021222324252627282930
Object Detection
Recipetium
by 1
42.2k images
- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random Gaussian blur of between 0 and 1-25 pixels- Resize to 320x320 (Stretch)- Resize to 640x640 (Stretch)- Salt and pepper noise was applied to 1 percent of pixels- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time100101102103104105106107108109110111
Object Detection
1.48k images
- Auto-contrast via adaptive equalization- Auto-orientation of pixel data (with EXIF-orientation stripping)- Grayscale (CRT phosphor)- Resize to 640x640 (Stretch)- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time10010001001100210031004100510061007100810091011010