# New Release: Ultralytics v8.4.123

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-4-123/2178>\
**Category:** Discussion\
**Tags:** ultralytics-official, releases, announcements\
**Created:** [August 20, 2026, 1:19pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-4-123/2178 "2026-08-20T13:19:48Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![glenn-jocher](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/glenn-jocher/32/83_2.png) [@glenn-jocher](https://community.ultralytics.com/u/glenn-jocher)\
**Post date:** [August 20, 2026, 1:19pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-4-123/2178/1 "2026-08-20T13:19:49Z")

</div>

# 🚀 Ultralytics v8.4.123: Expanded Depth Dataset Support

Ultralytics v8.4.123 makes depth-estimation datasets easier to adopt across training, NDJSON conversion, and [Ultralytics Platform](https://platform.ultralytics.com) workflows. Standard scaled PNG files and floating-point NPY depth maps now work directly, reducing preprocessing and improving dataset portability. 🌟

## ✨ New Features

### 🗂 Broader depth format support

- Use standard 16-bit grayscale PNG depth maps without Ultralytics-specific embedded metadata.
- Load floating-point `.npy` depth maps containing values in meters.
- Match depth files by filename stem across parallel `images/` and `depth/` directories.
- Prefer PNG files automatically, with fallback to NPY files.

### ⚙ Configurable depth scaling

Dataset YAML files now support an optional `depth_scale` field:

```yaml
depth_scale: 1000

```

The default value is `1000`, interpreting PNG values as millimeters. Other native dataset conventions are also supported, including:

- KITTI: `256`
- Virtual KITTI 2: `100`

This preserves each dataset’s intended precision and depth range without requiring custom conversions.

### 📥 NDJSON depth dataset support

- Depth records now require only a paired `depth.url`.
- Dataset-level `depth_scale` values are retained during NDJSON-to-YOLO conversion.
- Large downloads are processed in batches to reduce memory usage.

## ☁ Ultralytics Platform Improvements

Depth datasets can now be uploaded, exported, and used for training through the [Ultralytics Platform](https://platform.ultralytics.com), enabling a more complete end-to-end depth workflow.

NDJSON exports now include:

- The depth task type
- Depth scaling configuration
- Paired depth URLs

Depth estimation is also fully listed among the Platform’s supported task types. 🚀

## 🛠 Validation and Reliability Improvements

- Depth maps may have a lower resolution than their paired RGB images when aspect ratios match.
- Invalid depth values—including zero, NaN, and infinity—are handled safely.
- PNG-to-NPY fallback improves compatibility with mixed-format datasets.
- Batched processing reduces memory pressure during large dataset downloads.

## 📚 Dataset Configuration Updates

Built-in depth datasets now retain their native storage scales instead of converting all data into meter-based metadata PNGs.

Documentation and tests were updated across ARKitScenes, DIODE, KITTI, TartanAir, Virtual KITTI 2, Depth8, and additional depth datasets. The updated [depth dataset format documentation](https://docs.ultralytics.com/datasets/depth) explains the supported structure and scaling behavior in detail.

## ⚠ Migration Note

Older self-describing Ultralytics depth PNGs that depend on embedded metadata may need conversion to the new scaled PNG format. Review the [depth dataset documentation](https://docs.ultralytics.com/datasets/depth) before migrating existing pipelines.

## 🔧 What Changed

This release was implemented in [PR #25859: Accept existing depth dataset formats](https://github.com/ultralytics/ultralytics/pull/25859), contributed by GitHub author `@glenn-jocher`.

You can review every change in the [v8.4.122 to v8.4.123 full changelog](https://github.com/ultralytics/ultralytics/compare/v8.4.122...v8.4.123), including the associated code, documentation, and test updates.

## 📦 Try It Today

Upgrade to the latest release:

```bash
pip install -U ultralytics

```

Visit the [Ultralytics v8.4.123 release page](https://github.com/ultralytics/ultralytics/releases/tag/v8.4.123) for the official release details, then try your existing PNG or NPY depth datasets and share your feedback with the community. 🙌