Related Objects of Interest: lignite-uisd
Top 126 Datasets and Models
The datasets below can be used to train fine-tuned models for 126 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 126 datasets below.
by Esher Art
258 images 258 classes
E101-MC-Escher-No-101-Lizards-1956 E104-MC-Escher-No-104-Lizard-1959 E105-MC-Escher-No-105-Pegasus-1959 E107-MC-Escher-No-107-Fish-1960 E109-MC-Escher-No-109-Creeping-Creature-1961 E11-MC-Escher-No-11-Sea-Horse-1937-1938 E110-MC-Escher-No-110-BirdFish-1961 E124-MC-Escher-No-124-Lizard-1965 E126-MC-Escher-No-126-FishBird-1967 E15-MC-Escher-No-15-Lizard-1937 E17-MC-Escher-No-17-Eagle-1938 E18-MC-Escher-No-18-Two-Birds-1938 E20-MC-Escher-No-20-Fish-1938 E21-MC-Escher-No-21-IMP-1938 E22-MC-Escher-No-22-BirdFish-1938 E25-MC-Escher-No-25-Lizard-1939 E28-MC-Escher-No-28-Three-Birds-1938 E34-MC-Escher-No-34-BirdFish-1941 E34B-MC-Escher-No-34B-BirdFish-1941 E38-MC-Escher-No-38-Dragonfly-1941
29 images 397 classes
DESCASCARAMIENTO DESCASCARAMIENTO 01 DESCASCARAMIENTO 02 DESCASCARAMIENTO 03 DESCASCARAMIENTO 04 DESCASCARAMIENTO 05 DESCASCARAMIENTO 06 DESCASCARAMIENTO 07 DESCASCARAMIENTO 08 DESCASCARAMIENTO 09 DESCASCARAMIENTO 100 DESCASCARAMIENTO 101 DESCASCARAMIENTO 102 DESCASCARAMIENTO 103 DESCASCARAMIENTO 104 DESCASCARAMIENTO 105 DESCASCARAMIENTO 106 DESCASCARAMIENTO 107 DESCASCARAMIENTO 108 DESCASCARAMIENTO 109
by cycso
135 images 129 classes
liscence plate liscence plate 10 liscence plate 102 liscence plate 103 liscence plate 104 liscence plate 105 liscence plate 106 liscence plate 107 liscence plate 108 liscence plate 109 liscence plate 11 liscence plate 110 liscence plate 111 liscence plate 112 liscence plate 113 liscence plate 114 liscence plate 115 liscence plate 116 liscence plate 117 liscence plate 118
by ElektroTeile
1237 images 144 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 100 101 102 103 104 105 106 107 108 109 110 111 112 113