Datasets:
Published dataset, internal build detail removed
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- LICENSE +16 -0
- README.md +129 -0
- annotations/instances.json +0 -0
- capture.json +5010 -0
- data.yaml +13 -0
- images/metadata.jsonl +0 -0
- images/plugin_000000.png +3 -0
- images/plugin_000001.png +3 -0
- images/plugin_000002.png +3 -0
- images/plugin_000003.png +3 -0
- images/plugin_000004.png +3 -0
- images/plugin_000005.png +3 -0
- images/plugin_000006.png +3 -0
- images/plugin_000007.png +3 -0
- images/plugin_000008.png +3 -0
- images/plugin_000009.png +3 -0
- images/plugin_000010.png +3 -0
- images/plugin_000011.png +3 -0
- images/plugin_000012.png +3 -0
- images/plugin_000013.png +3 -0
- images/plugin_000014.png +3 -0
- images/plugin_000015.png +3 -0
- images/plugin_000016.png +3 -0
- images/plugin_000017.png +3 -0
- images/plugin_000018.png +3 -0
- images/plugin_000019.png +3 -0
- images/plugin_000020.png +3 -0
- images/plugin_000021.png +3 -0
- images/plugin_000022.png +3 -0
- images/plugin_000023.png +3 -0
- images/plugin_000024.png +3 -0
- images/plugin_000025.png +3 -0
- images/plugin_000026.png +3 -0
- images/plugin_000027.png +3 -0
- images/plugin_000028.png +3 -0
- images/plugin_000029.png +3 -0
- images/plugin_000030.png +3 -0
- images/plugin_000031.png +3 -0
- images/plugin_000032.png +3 -0
- images/plugin_000033.png +3 -0
- images/plugin_000034.png +3 -0
- images/plugin_000035.png +3 -0
- images/plugin_000036.png +3 -0
- images/plugin_000037.png +3 -0
- images/plugin_000038.png +3 -0
- images/plugin_000039.png +3 -0
- images/plugin_000040.png +3 -0
- images/plugin_000041.png +3 -0
- images/plugin_000042.png +3 -0
- images/plugin_000043.png +3 -0
LICENSE
ADDED
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Terms of use for this capture
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What is published here is the render and its labels: the RGB frames, the per-instance ID
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buffers, the box and COCO annotations, the per-frame metadata, and the validation reports.
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You may read them, train on them, benchmark against them, redistribute them, and publish
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results that reference them. Attribution is appreciated and not required.
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The environment, character and prop assets that appear in the frames are licensed from
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third parties for use inside Unreal Engine projects. Those source assets are not published
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| 11 |
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here and no rights to them are granted or implied: this archive contains no .uasset file, no
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| 12 |
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map, and no mesh, material or texture in any source form. If you intend to publish or resell
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derivatives of the imagery itself, check the licence of the source content first.
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No warranty is given. See reports/ for the measured quality of this capture, including every
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check it did not pass.
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README.md
ADDED
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---
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pretty_name: "Airbase: Unreal Engine synthetic capture"
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license: other
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license_name: sample-capture-terms
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license_link: LICENSE
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task_categories:
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- object-detection
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- image-segmentation
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tags:
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- synthetic
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- synthetic-data
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- unreal-engine
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- computer-vision
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- object-detection
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- instance-segmentation
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- sim2real
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size_categories:
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- n<1K
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annotations_creators:
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- machine-generated
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source_datasets:
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- original
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configs:
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- config_name: default
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data_files:
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- split: train
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path: images/*
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---
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# Airbase: a synthetic detection capture rendered in Unreal Engine
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300 rendered frames from a single Unreal Engine environment, carrying
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32,546 labelled object instances. Every box and every mask here is read
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out of the engine's own per-instance ID buffer at render time. No model produced these labels
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and no one drew them by hand, so a label is wrong only where the scene description behind it
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is wrong.
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## The capture
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| | |
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| --- | --- |
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| Engine | 5.8.1-56057345+++UE5+Release-5.8 |
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| Map | `Map_Airbase_Demo` |
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| Frames | 300 |
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| Instances | 32,546 |
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| Resolution | 1280 x 960 |
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| Horizontal FOV | 64 deg |
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| Camera policy | `camera_zones_look_at_target`, 4 authored zones |
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| Lens profile | `realistic_drone at 0.6` |
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| Time of day | 07:00 to 19:00 |
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| Weather | scene (300 frames) |
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| Master seed | 67 |
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| Validator | grade A, 92.1 out of 100 |
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Placement, pose and camera pose are sampled deterministically from the master seed
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(`deterministic_per_logical_frame_and_instance`), so the same seed over
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the same scene reproduces the same 300 frames.
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## Classes
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| id | class | instances |
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| --- | --- | --- |
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| 0 | person | 7,921 |
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| 1 | car | 1,811 |
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| 2 | tank | 570 |
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| 3 | container | 2,573 |
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| 4 | crate | 8,717 |
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| 5 | barrel | 10,954 |
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By COCO's scale thresholds: 22,648 small, 8,637
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medium, 1,261 large. The mean box covers
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0.13% of the frame, which makes this a
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small-object capture.
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## Layout
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```
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images/ rendered RGB frames, unmodified PNG
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segmentation/ per-instance ID buffers, one colour per instance
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labels/ YOLO boxes, one text file per frame
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annotations/ the same labels in COCO format
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metadata/ per-frame camera, actor and spawn-manifest records
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reports/ this capture's own report and validation output
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capture.json the run contract: classes, camera policy, seed
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data.yaml class names, ready for a YOLO trainer
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```
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Frame `N` is the same scene across `images/`, `segmentation/`, `labels/` and `metadata/`. No
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| 89 |
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split is imposed: all 300 frames sit in one pool, so you can split them
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however the experiment needs.
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Decode `segmentation/*.png` with a library that hands you channels in the order the file
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declares. The instance colours are exact 8-bit values, and a silent channel swap turns a
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correct mask lookup into an empty one.
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## Measured quality
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| 97 |
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This archive ships the validator's own output rather than a summary of it. From
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`reports/validation.json`:
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- Corrupt images: 0 of 300
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- Frames with no labels: 0
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- Near-duplicate images: 2
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- Cross-split leakage: 0
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- Mean luminance 100.8; 18 underexposed frames, 0 overexposed
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- Reconciled frame by frame: 300 requested, 300 images, 300 label files, 32,546 annotations
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## Known limitations
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- The validator took 7.58 points off for `class-imbalance`: rarest/commonest class ratio 0.052.
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- The validator took 0.33 points off for `near-duplicate-images`: visually near-identical images in one split (dHash <= 4).
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- Check `build-provenance` did not pass: BUILD_PROVENANCE_UNVERIFIED: UNVERIFIED_REPOSITORY_COMMIT.
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- Depth-probed people the engine could see, against people labelled: 3/7370 depth-probed people unlabelled (0.04%, 300/300 frames).
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- Camera placements are drawn from 4 authored zones under the `camera_zones_look_at_target` policy, so viewing angles and distances cover a narrow band. This is a sample of one environment, not a benchmark.
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- Rendered imagery carries a synthetic-to-real domain gap. Treat it as pre-training or augmentation material rather than a substitute for a real-world evaluation set.
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## Provenance and terms
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The frames were rendered in Unreal Engine and labelled from the engine's instance buffers by
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NameFrameCapture, an editor plugin. `capture.json` carries the full build record, including
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| 121 |
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the plugin and job hashes and the checks the build could not verify.
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Environment and prop assets in the scene are licensed from third parties for use inside
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| 124 |
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Unreal Engine projects. The rendered images and their labels are published here; the source
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| 125 |
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assets are not, and no `.uasset` or map file is included. Read `LICENSE` before
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| 126 |
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redistributing the imagery itself.
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| 127 |
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| 128 |
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The capture pipeline, the other environments in this series and the measurements behind them
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are documented at <https://getnameframe.com>.
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annotations/instances.json
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See raw diff
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capture.json
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| 1 |
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| 2 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 31 |
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| 32 |
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| 46 |
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| 81 |
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| 102 |
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| 116 |
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| 1982 |
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| 1983 |
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| 1984 |
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| 1986 |
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| 1987 |
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| 1988 |
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| 1989 |
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| 1990 |
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| 1991 |
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| 1992 |
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| 1993 |
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| 1994 |
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| 1995 |
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| 2005 |
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| 2006 |
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| 2019 |
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| 2020 |
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],
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| 5001 |
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"identity": {},
|
| 5002 |
+
"notes": [
|
| 5003 |
+
"written by the NameFrameCapture plugin; ids are per-instance, bones are native engine reads"
|
| 5004 |
+
],
|
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+
"randomization": {
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}
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}
|
data.yaml
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
path: .
|
| 2 |
+
train: images/train
|
| 3 |
+
val: images/val
|
| 4 |
+
test: images/test
|
| 5 |
+
|
| 6 |
+
nc: 6
|
| 7 |
+
names:
|
| 8 |
+
0: person
|
| 9 |
+
1: car
|
| 10 |
+
2: tank
|
| 11 |
+
3: container
|
| 12 |
+
4: crate
|
| 13 |
+
5: barrel
|
images/metadata.jsonl
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The diff for this file is too large to render.
See raw diff
|
|
|
images/plugin_000000.png
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|
Git LFS Details
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Git LFS Details
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images/plugin_000024.png
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Git LFS Details
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images/plugin_000025.png
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Git LFS Details
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images/plugin_000026.png
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Git LFS Details
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images/plugin_000027.png
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Git LFS Details
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images/plugin_000028.png
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Git LFS Details
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images/plugin_000029.png
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Git LFS Details
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images/plugin_000030.png
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Git LFS Details
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images/plugin_000031.png
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Git LFS Details
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images/plugin_000032.png
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Git LFS Details
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images/plugin_000033.png
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Git LFS Details
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images/plugin_000034.png
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Git LFS Details
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images/plugin_000035.png
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Git LFS Details
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images/plugin_000036.png
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Git LFS Details
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images/plugin_000037.png
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Git LFS Details
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images/plugin_000038.png
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Git LFS Details
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images/plugin_000039.png
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Git LFS Details
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images/plugin_000040.png
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Git LFS Details
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images/plugin_000041.png
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Git LFS Details
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images/plugin_000042.png
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Git LFS Details
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images/plugin_000043.png
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Git LFS Details
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