Omkar2118/datasets huggingface dataset:
BottleCap

The BottleCap dataset contains over 1100 color images and 7 types of real
defects. All the images are collected from the real production line
and verified by professionals.
Allergen30

Allergen30 is created with the goal of building a robust detection model that can assist people in avoiding possible allergic reactions.

It contains more than 6,000 images of 30 commonly used food items that can cause an adverse reaction within the human body. This dataset is one of the first research attempts in training a deep learning based computer vision model to detect the presence of such food items from images. It also serves as a benchmark for evaluating the efficacy of object detection methods in learning the otherwise difficult visual cues related to food items.
CLEVR-MRT
Full name: CLEVR: Mental Rotation Tests

**CLEVR Mental Rotation Tests (CLEVR-MRT)** is a new version of the CLEVR dataset. It contains 20 images generated for each scene holding a constant altitude and sampling over azimuthal angle. It is a controlled setting whereby questions are posed about the properties of a scene if that scene was observed from another viewpoint.

Source: [Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests](https://arxiv.org/pdf/2212.01639v1.pdf)

Image Source: [https://arxiv.org/pdf/2212.01639v1.pdf](https://arxiv.org/pdf/2212.01639v1.pdf)

Introducing paper: Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests