Related Objects of Interest: ==============================, the following pre-processing was applied to each image:, * auto-orientation of pixel data (with exif-orientation stripping), * resize to 416x416 (stretch), "component text" "47 25s- t85", "component text" "697 6k 206", "component text" "93aa66ci sn 1103 de0", "component text" "maxim max2837 etm 509 8sy03ak", "component text" "maxim max5864 etm 405 bqgt1aa", "component text" "mcc 5k22"
Top It Datasets and Models
The datasets below can be used to train fine-tuned models for it 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 it datasets below.
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
931 images 196 classes
cardboard box plastic cup ALDIPlastic Bag Afia Plastic Bottle Alliance Lysol Plastic Jerrycan Amigos Plastic Bag Amplico Dawa Plastic Bottle Ariel Plastic Sache Assured Plastic Container Azam Energy Plastic Bottle Bazuu Energy Plastic Bottle Bella Plastic Bag Blueband Plastic sache BrookSide Lala Plastic Bottle Butterfly Plastic Bag Cables Cardboard Carton Ceramic mug Ceramic mugs ChandaranaPlastic Shopping Bag
40 images 4491 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "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" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 25V UT" "component text" "100 50V UT" "component text" "100 6V" "component text" "100 CFK 7BD"
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 pcbdataset
1033 images 4547 classes
object "capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "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" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 25V UT" "component text" "100 50V UT" "component text" "100 6V"
809 images 9 classes
by notebook
40 images 4491 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "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" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 25V UT" "component text" "100 50V UT" "component text" "100 6V" "component text" "100 CFK 7BD"
by enes mercan
35 images 793 classes
"component text" "47 25S- T85" "component text" "697 6K 206" "component text" "93AA66CI SN 1103 DE0" "component text" "MAXIM MAX2837 ETM 509 8SY03AK" "component text" "MAXIM MAX5864 ETM 405 BQGT1AA" "component text" "MCC 5K22" "component text" "MXU 58810" "component text" "NXP LPC4320FBD144 SC3N9 04 9SD15070C" "component text" "RJ9 117-5" "component text" "S15351 BMF020 1452" "component text" "T250 VU4T" "component text" "XILINX XC2C64A VQG100AMS1201 F4339159A 7C" "component text" 102 "component text" 103 "component text" 220 "component text" 472 "component text" 505Y "diode zener array" DA1 "diode zener array" DA3 "electrolytic capacitor" C157
by maissafst
9920 images 412 classes
by Jakir Khan
165 images 17 classes
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 ==============================
by dev1
80 images 29 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, upside-down * Random rotation of between -15 and +15 degrees * Resize to 416x416 (Stretch) * 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 unstructured image data * use active learning to improve your dataset over time 20 21 22 23 24 25 26 27
by Fort1
5306 images 28 classes
head person player * 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 unstructured image data * use active learning to improve your dataset over time 0 1 16 18 19 20 ============================== Fortnite Player Tracker - v1 2024-02-10 10:30pm It includes 280 images.
by HibaB
3084 images 18 classes
10 11 12 13 14 7 8 9 ============================== BCCD - v3 raw Card-Types are annotated in YOLO v5 PyTorch format. It includes 8992 images. No image augmentation techniques were applied. The following pre-processing was applied to each image: This dataset was exported via roboflow This dataset was exported via roboflow.ai on February 24, 2021 at 10:05 AM GMT This dataset was exported via roboflow.ai on October 16, 2020 at 3:14 PM GMT Uno Cards - v2 raw
by PCB
40 images 4491 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "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" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 25V UT" "component text" "100 50V UT" "component text" "100 6V" "component text" "100 CFK 7BD"
120 images 5 classes