1. Fruits 360 dataset:
Dataset details: https://github.com/Horea94/Fruit-Images-Dataset (Links to an external site.)or https://www.kaggle.com/moltean/fruits (Links to an external site.)
Download Link: Can be download from the above links, either from GitHub or the Kaggle competition page.
Additional information: As there is no validation set for this dataset, please split the test dataset into two parts, 60% for testing and 40% validation. The Multi-fruit (103 images) set is not required for your experiment, please don't use it.
2. Multi-Class weather dataset:
Description and link: https://data.mendeley.com/datasets/4drtyfjtfy/1
Object Detection
Task: Object Detection (Choose any one dataset)
1. Synthetic Fruit Dataset: https://public.roboflow.com/object-detection/synthetic-fruit (Links to an external site.)
Note: While downloading the dataset, export the annotations in Pascal VOC XML format, or a format required by the object detection framework.
Note: While downloading the dataset, export the annotations in Pascal VOC XML format, or a format required by the object detection framework. Acknowledge the source of the dataset: PKLot Paper (Links to an external site.) in your report.
3. Red Blood Cell Detection and Counting: BloodRBC-Detection-Dataset-Processed.zip download
4. Hard Hat Workers Dataset: https://public.roboflow.com/object-detection/hard-hat-workers (Links to an external site.)
Note: While downloading the dataset, export the annotations in Pascal VOC XML format, or a format required by the object detection framework.
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