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Top 4222 Datasets and Models
The datasets below can be used to train fine-tuned models for 4222 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 4222 datasets below.
by Agribio
1099 images 273 classes
(Chest)7216 {a7e07fe5-511e-45aa-b3b0-1d0702a0f3ea} (Lame)7100 {cf3c4afa-0382-4a71-a48f-79a22f9029c2} (Mastitis)0679 {b6908760-a06e-416b-815a-e7467b33106e} (Mastitis)4640 (Mastitis)6007 (Mastitis)7209 {35766a74-57fd-4d3e-b2f8-be4402df8328} (Mastitis)7403 {84d4a926-d43b-4596-8177-5f2e1b120bea} (Mastitis)7461 {c3a39ce1-e39d-460f-a1f2-aa6d8aa70513} (Mastitis)7659 {15299ff2-8c5e-4111-907e-99a69ec1a098} 0679 {b6908760-a06e-416b-815a-e7467b33106e} 1227 {36d494e3-3b68-4714-96ff-47889242b51b} 1263 {7c9efbe9-cc1a-4385-ba24-301849509b8b} 2317 {6b97f0df-5a3c-47fd-9c25-db78b846604b} 3465 {A7670A7D-6BC6-488D-9B9B-4C8FAAEA6B94} 3478 {384b2d10-062c-4f6c-9ee3-ce42589fb5aa} 3506 {ff223ade-6111-43de-b68c-4e238beb28ee} 3597 {643deab2-a92c-4d21-8361-eb84a3062dc1} 3652 4609 {f4b4a15b-dd82-4d82-bca9-64f9754321a0} 4612 {22dabdd0-defa-4eae-b6ca-e8e784c77ba9}
by Agribio
474 images 102 classes
3465 {A7670A7D-6BC6-488D-9B9B-4C8FAAEA6B94} 4659 {4B88F260-47E2-4204-971F-9F6D762F71DD} 5106 {6A27F40C-D694-4B13-8966-383EA2BFC5F9} 5114 {15B682E6-1C41-4764-A3AB-D91E6DFF0321} 6007 6033 {62FD07E6-9667-497C-AFA1-BF763438C9B9} 6036 {721FA7D4-E10F-4BF8-8ECE-EA7DF2A98EEF} 6047 {FE1E1E5A-EAE0-4342-A38C-8ED7734D53F1} 6065 {70BFDC66-3A34-4A31-B2AD-AD3676374CF1} 6099 {84559855-B638-4E23-A8D3-104B3393DE88} 7009 7014 {C1523F5A-BA5E-4E94-A4DD-E601252E3282} 7034 7050 {6310DEAE-03D6-47BE-829C-058ADB6F6F13} 7062 {B3DDC6F9-B883-4AAE-A987-F013BB5F116B} 7064 {6DDBE382-F99B-41AD-BA78-C879107734CC} 7161 {04B25E6C-9FE0-4742-9296-14D7017DAD56} 7163 {0557A165-1F15-4C10-B7E9-7F091D8D66E1} 7172 {9e8523e6-5577-4dc7-a63a-f1d3717e3a4a} 7208 {B221D052-681E-4140-9D0F-E5FDE2D6EC82}
529 images 4201 classes
* 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 time 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101 1010
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