Related Objects of Interest: * annotate, and create datasets, * collect & organize images, ==============================, for state of the art computer vision training notebooks you can use with this dataset,, * collaborate with your team on computer vision projects, * export, train, and deploy computer vision models, * understand and search unstructured image data, * use active learning to improve your dataset over time, roboflow is an end-to-end computer vision platform that helps you, visit https://github.com/roboflow/notebooks
Top For Datasets and Models
The datasets below can be used to train fine-tuned models for for 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 for datasets below.
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 parkDzenleme
7625 images 11 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 ============================== 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 May 15, 2024 at 4:52 PM GMT bosch - v2 2024-05-15 3:52pm
by vehicles
3360 images 11 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 ============================== 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 21, 2024 at 12:18 AM GMT mirz - v1 2024-02-05 8:28pm
240 images 66 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
129 images 14 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, RTI-LF_Drawing_Vaidi - v3 2023-12-07 2:47pm Roboflow is an end-to-end computer vision platform that helps you The dataset includes 54 images. To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com undefined visit https://github.com/roboflow/notebooks
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
39 images 3296 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" "-309 LL6" "component text" "0 N" "component text" "0001 5293 170A" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "0N 5C" "component text" "1 2 3 4" "component text" "1 2" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87" "component text" "100 VFK- 8R7" "component text" "106C 43JJ2" "component text" "107A 938H4" "component text" "12-000" "component text" "15 203"
by Emdalo
3999 images 324 classes
bed cabinet mirror mobile sofa A black desk lamp on top of a desk next to white sheets of paper and a science poster A black laptop, a black computer screen, a gray and black keyboard and a computer mouse on top of a black desk and chair A black laptop, a black computer screen, a gray and black keyboard and a computer mouse on top of a desk A black laptop, a gray and black keyboard and a computer mouse on top of a white piece of paper on a desk A black laptop, some cables, a black computer screen on top of a desk A black stapler, some glasses and a black cable on a desk A blue and yellow can on top of a desk next to some white sheets of paper, a computer screen and a keyboard A blue chair and a black floor A blue vending machine A bottle of water on top of a desk next to a black chair A cabinet of folders A cabinet of folders and a chair A cabinet of folders and a window with curtains A cabinet of folders and some posters fixed on the wall A cabinet of folders and some white sheets and some chairs
42 images 3373 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" "-309 LL6" "component text" "0 N" "component text" "0001 5293 170A" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "0N 5C" "component text" "1 2 3 4" "component text" "1 2" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87" "component text" "100 VFK- 8R7" "component text" "106C 43JJ2" "component text" "107A 938H4" "component text" "12-000" "component text" "15 203"
by enes mercan
43 images 2998 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" "-309 LL6" "component text" "0 N" "component text" "0001 5293 170A" "component text" "021 LDBM N389" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "0N 5C" "component text" "1 2 3 4" "component text" "1 2" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87" "component text" "100 VFK- 8R7" "component text" "106C 43JJ2" "component text" "107A 938H4" "component text" "12-000" "component text" "15 203" "component text" "150 CFK- 0C7"
40 images 40 classes
AI Platform App Engine Artifact Registry BigQuery Cloud Bigtable Cloud CDN Cloud DNS Cloud Datastore Cloud Deployment Manager Cloud Endpoints Cloud Functions Cloud IAM Cloud Jobs API Cloud Load Balancing Cloud Natural Language API Cloud Network Cloud SQL Cloud Storage Cloud Tools for Powershell Cloud Translation API
199 images 13 classes
capacitor clock diode * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images For state of the art Computer Vision training notebooks you can use with this dataset, IC Inductor The following pre-processing was applied to each image: Transistor connector kitapcb - v2 2024-05-02 4:19pm
by enes mercan
43 images 3373 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" "-309 LL6" "component text" "0 N" "component text" "0001 5293 170A" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "0N 5C" "component text" "1 2 3 4" "component text" "1 2" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87" "component text" "100 VFK- 8R7" "component text" "106C 43JJ2" "component text" "107A 938H4" "component text" "12-000" "component text" "15 203"
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
42 images 3300 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" "0 N" "component text" "0001 5293 170A" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "0N 5C" "component text" "1 2 3 4" "component text" "1 2" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87" "component text" "100 VFK- 8R7" "component text" "106C 43JJ2" "component text" "107A 938H4" "component text" "12-000" "component text" "15 203" "component text" "150 CFK- 0C7"
by Marco
9560 images 52 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 1.75 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -15 and +15 percent * Random rotation of between -10 and +10 degrees * Random shear of between -2° to +2° horizontally and -2° to +2° vertically * Randomly crop between 0 and 15 percent of the image * 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 29 30
by EFCD
80 images 14 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 ============================== 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 The dataset includes 919 images. This dataset was exported via roboflow.com on May 9, 2023 at 1:14 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com WebForm elements detection - v10 2023-05-08 3:34pm visit https://github.com/roboflow/notebooks
1169 images 69 classes
pole * 50% probability of horizontal flip * 50% probability of vertical flip * Random Gaussian blur of between 0 and 3.25 pixels * Randomly crop between 0 and 33 percent of the image * annotate, and create datasets * 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
by unicloudorg
8099 images 497 classes
2713 images 13 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Mendeteksi Karang - v1 2023-08-12 9:54pm Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on August 19, 2023 at 4:44 AM GMT visit https://github.com/roboflow/notebooks
2713 images 13 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Mendeteksi Karang - v1 2023-08-12 9:54pm Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on August 19, 2023 at 4:44 AM GMT visit https://github.com/roboflow/notebooks
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
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