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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,511 datasets
A collection of images of fruits and vegetables intended for training YOLO (You Only Look Once) object detection models. The dataset is hosted on Kaggle, but its size, specific contents, and creation details are not provided in the metadata. The dataset likely contains annotated images suitable for computer vision tasks.
Fruit-Vegetable-YOLO-Dataset is a collection of images likely intended for training object detection models using the YOLO framework. The dataset is hosted on Kaggle, but its specific size, annotation details, and creation date are unknown. Its content appears to focus on fruits and vegetables.
Kaggle hosts an image dataset for garbage object detection. The dataset likely contains annotated images intended for training computer vision models. Its specific size, origin, and update date are unknown.
NWPU-VGG16 is a pre-trained model dataset published on Kaggle. The dataset likely contains model weights and architecture files for the VGG16 convolutional neural network. Its specific content, size, and origin require verification after download.
A pre-trained Convolutional Neural Network model named 'dhbk_hb_model' is available on Kaggle. The title suggests it is a version 24.7 model, potentially trained on a dataset of images. Its specific architecture, training data, and performance metrics require verification after download.
dhbk_hb_emb cnn gei 075 v24.7 is a dataset published on Kaggle. The title suggests it contains embeddings generated by a CNN (Convolutional Neural Network). The dataset likely contains processed image features for machine learning tasks.
rdd2022-yolo-weights is a dataset of pre-trained YOLO model weights, likely for object detection tasks. The dataset is hosted on Kaggle, but specific details about the model versions, training data, and performance are not provided in the metadata. The '2022' in the title suggests a possible connection to the Road Damage Detection (RDD) 2022 challenge, but this is not confirmed.
RipenSight_CNN is a dataset published on Kaggle. The title suggests it contains images for training a Convolutional Neural Network (CNN) to assess the ripeness of agricultural produce. Specific details on the number of images, source, and collection date are not provided in the available metadata.
A dataset hosted on Kaggle containing images labeled as either AI-generated or real. The specific number of images, creation date, and author are not provided in the available metadata. The dataset's primary purpose appears to be for training and evaluating models that distinguish between synthetic and authentic visual content.
A Kaggle dataset likely containing images annotated for object detection using the YOLOv8 framework. The title suggests the dataset focuses on fruit and animal objects. The dataset's author, size, and specific temporal coverage are unknown.
Box Object Detection Dataset is a computer vision dataset published on Kaggle. The dataset likely contains images with bounding box annotations for object detection tasks. Specific details on size, source, and creation date are not provided in the available metadata.
A dataset likely containing physically based render (PBR) textures for use with CycleGAN models. The dataset's title suggests it is designed for image-to-image translation tasks, potentially involving seven channels. It is hosted on Kaggle, but the author, organization, and creation date are unknown.
A dataset related to coffee from the Ankole region of Uganda. It is hosted on Kaggle, but the author, size, and specific contents are unknown. The data's creation date and update history are also not provided.
Banana Dataset from Ankole Uganda is hosted on Kaggle. The title suggests it contains information related to banana cultivation or characteristics from a specific region in Uganda. Metadata is minimal; the actual content, scale, and collection methods require verification after download.
Ankole, Uganda is the geographic focus of this dataset. It likely contains information related to maize cultivation, such as yield, planting conditions, or crop health. The dataset is hosted on Kaggle, but specific details about its size, origin, and features are not provided in the metadata.
A collection of cassava plant images from the Ankole region of Uganda, published on Kaggle. The dataset likely contains visual data for agricultural analysis. Specific details on volume, collection method, and timeliness are not provided in the available metadata.
Banana_Cnn is a dataset published on Kaggle. The title suggests it contains images of bananas, likely intended for training convolutional neural network models. No further metadata on size, source, or creation date is available.
Dashcam point-of-view images likely depicting road infrastructure issues. The dataset is hosted on Kaggle and appears designed for training the YOLO26n object detection model. Its specific scale, collection method, and geographic origin are not detailed in the available metadata.
A dataset for instance segmentation tasks, likely containing images of shrimp. It is published on Kaggle and appears designed for training or evaluating YOLOv8 models. The specific number of images, annotation details, and creation date are not provided in the available metadata.
A pre-trained convolutional neural network model hosted on Kaggle. The model likely contains weights and architecture for image classification tasks. Its specific training data, performance metrics, and author details are unknown.