---
language:
- en
task_categories:
- object-detection
tags:
- object-detection
- "384"
- resized
- coco
size_categories:
- 1M<n<10M
---

# Objects365 (384)

Large-scale object detection dataset with 365 categories.

This is a **384×384 resized** version of the **Objects365** dataset, with annotations in **COCO format** (`images`, `annotations`, `categories`).

## Contents

- `images.zip` — all images, resized to 384×384 (JPEG).
- `annotations.zip` — COCO-format JSON annotation files.

## Extract

```bash
unzip images.zip
```
```bash
unzip annotations.zip
```

## Splits

| Split | Images | Annotations | Categories |
|---|---:|---:|---:|
| train | 1,742,289 | 25,407,543 | 365 |
| val | 80,000 | 1,240,584 | 365 |

## Categories

365 categories (e.g. Person, Sneakers, Chair, Other Shoes, Hat, Car, Lamp, Glasses, Bottle, Desk, Cup, Street Lights, Cabinet/shelf, Handbag/Satchel, Bracelet, Plate, Picture/Frame, Helmet, Book, Gloves...).

## Notes

- Images resized to **384×384** (JPEG).
- Annotations in **COCO format**.
- License & citation: please refer to the original **Objects365** dataset.