Annotated vehicle dataset consisting of over 120,000 annotations, each of which contains precise bounding boxes and detailed vehicle class annotations. This dataset covers a wide range of vehicle categories, including but not limited to cars, bikes, trucks, buses, and auto rickshaws, and captures diverse lighting conditions across different times of the day.
The dataset includes:
Annotated dataset of Indian numberplates comprising over 115,000 annotations, each featuring bounding boxes of alphanumeric characters. The dataset encompasses non-standard numberplates with diverse fonts captured at various times of the day.
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This annotated alphanumeric dataset comprises over 85,000 annotations, containing bounding boxes of alphanumeric characters captured in various fonts.
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An extensive dataset of annotated animal images, consisting of over 21,000 highly accurate annotations. Each image in the dataset comes equipped with rightly placed bounding boxes and accurately labelled text.
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Indian ethnic wear dataset of 8000 + annotations with bounding box over various categories such as: Kurta, Pyjama, Sherwani, Kurti, Etc.
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A compiled facial expressions dataset consisting of 24,000 images depicting five basic emotions, namely happy, sad, angry, fearful, and neutral.
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Annotated Face Mask Dataset consisting of more than 16,000 annotations, complete with bounding boxes for precise mask and no-mask detection.
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Annotated dataset comprising over 66,500 annotations, each containing bounding boxes meticulousl to identify headwear such as helmets, chef caps, and hard hats.
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The dataset comprises over 5,700 annotated glove images, complete with bounding boxes to facilitate glove and no-glove detection.
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