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Related Objects of Interest: * 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 following pre-processing was applied to each image:
Top 102 Datasets and Models
The datasets below can be used to train fine-tuned models for 102 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 102 datasets below.


602 images1 model


6340 images3 models
0--s--unknown1--s--Qingjiang Cuisine100--m--Fried Cod101--s--Sand Tea Mustard Slices102--s--Flax103--s--Xiuzhen Mushroom Fried Chicken104--m--Garlic Grilled Pork Chop105--s--Sauce106--s--Homemade Tofu107--m--Fried Dragon Fish109--s--Corn11--s--Amaranth110--s--Sesame Belt Root111--s--Big Melon Fungus Slices112--m--Frying Muscle112--m--Turou115--s--Emerald Steamed Egg116--s--Shrimp Tofu117--s--Kelp Sprouting Enoki Mushroom118--s--Sauce


8224 images
number* Random rotation of between -2 and +2 degrees* Random shear of between -10° to +10° horizontally and -10° to +10° vertically* 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 time01100101102103104105106107108


40 images2 models
"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"


7559 images
1 rice leaf roller10 small brown plant hopper102 Cicadellidae11 rice water weevil12 rice leafhopper13 grain spreader thrips14 rice shell pest15 grub16 mole cricket17 wireworm18 white margined moth19 black cutworm2 rice leaf caterpillar20 large cutworm21 yellow cutworm22 red spider23 corn borer24 army worm25 aphids26 Potosiabre vitarsis


2640 images
* 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 time100101102103104105106107108109110111112


3200 images
* 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 time100101102103104105106107108109110111112


3200 images
* 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 time100101102103104105106107108109110111112


29 images
DESCASCARAMIENTODESCASCARAMIENTO 01DESCASCARAMIENTO 02DESCASCARAMIENTO 03DESCASCARAMIENTO 04DESCASCARAMIENTO 05DESCASCARAMIENTO 06DESCASCARAMIENTO 07DESCASCARAMIENTO 08DESCASCARAMIENTO 09DESCASCARAMIENTO 100DESCASCARAMIENTO 101DESCASCARAMIENTO 102DESCASCARAMIENTO 103DESCASCARAMIENTO 104DESCASCARAMIENTO 105DESCASCARAMIENTO 106DESCASCARAMIENTO 107DESCASCARAMIENTO 108DESCASCARAMIENTO 109


42 images1 model
"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"