HOW

There is no standard template for a task description, so you just describe the task in your own words. Here are some examples.

The dataset should contain 10,000 images of grocery shelves.
It would be best if you took the shelves' pictures at an angle of seventy-five to one hundred and five degrees, at a distance of one to three meters.
The image should clearly show the type of product, product name, and price tags.
It is advisable that the pictures are taken in different supermarkets to provide a variety of shelving.
10% of images should contain half-empty shelves.

GROCERY

ACCESSORIES

Litter

We need a dataset of home accessories. The goods must be from reputable manufacturers. Each image should contain from one to five objects. Each object must be shot from different angles in multiple photos. It is necessary to annotate the objects with bounding boxes and label each item with an SKU number.

There are the following categories of clothes:

• T-shirts
• Long sleeves, sweaters, hoodies
• Shirts
• Jeans, pants, shorts
• Dresses, skirts
• Shoes
• Jackets, coats
• Hats
• Clothes for kids

To make a picture, put the item on a floor or a bed. Pictures of hanging clothes are fine, but make sure the item is visible. The item shouldn't be crumpled or packed. The background should be contrasting enough to see the item. An image should contain only one item. And there should be no people.

It's required to collect images containing different categories of waste. Each piece has to be labeled using bounding boxes. Each picture is supposed to have up to 5 items. Each piece has to be classified into particular categories of waste. Categories have to be classified as follows:

• Glass
• Plastic
• Paper
• Metal
• Biodegradable waste
• Non-recyclable waste