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COMPETITION.md

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+# Event-Guided Video Depth Estimation Competition
+
+## Overview
+
+This challenge focuses on event-guided video depth estimation in low-light scenes.
+
+Participants are asked to use low-light RGB frames together with event streams to predict dense depth maps for each scene. The benchmark is organized at the scene/video level so that temporal consistency is preserved across frames.
+
+The official split follows a 6:2:2 train/val/test ratio by video count. The split assignment is encoded directly in the top-level directory structure.
+
+## Dataset
+
+The competition dataset is a workshop-aligned mirror of the DVD event-guided depth data.
+
+Each scene contains aligned RGB frames, event slices, and depth supervision in the following layout:
+
+```text
+train/
+  <scene_name>/
+    low/
+    normal/
+val/
+  <scene_name>/
+    low/
+    normal/
+test/
+  <scene_name>/
+    low/
+    normal/
+```
+
+Each scene directory includes a `manifest.json` file with the release and split metadata.
+
+Training and validation scenes are intended for development and public benchmarking. Test labels should remain hidden during the competition phase.
+
+## Submission
+
+Participants should submit one predicted depth sequence for each test scene.
+
+Recommended submission layout:
+
+```text
+submission/
+  <scene_name>/
+    normal/
+      depth.npz
+```
+
+Each `depth.npz` file should contain a depth array aligned with the scene frame order. A 4D tensor shaped `[T, H, W, 1]` is preferred for compatibility with the existing DVD tooling, although `[T, H, W]` can also be supported by the evaluation script.
+
+## Evaluation
+
+The current DVD evaluation code reports the following depth metrics:
+
+- AbsRel / `abs_relative_difference`
+- RMSE / `rmse_linear`
+- delta1 / `delta1_acc`
+- delta2 / `delta2_acc`
+- delta3 / `delta3_acc`
+- SILog / `silog_rmse`
+
+For launch, we suggest selecting one primary ranking metric from the list above and reporting the rest as diagnostics.
+
+## Rules & Timeline
+
+- Only use the training data and any additional resources explicitly allowed by the organizers.
+- Do not inspect or annotate hidden test labels.
+- Keep scene-level temporal ordering intact when producing predictions.
+- Submission quota: TBD.
+- Development phase: TBD.
+- Final test phase: TBD.
+
+## Terms
+
+- Dataset license: TBD.
+- Code and baseline license: TBD.
+- By participating, teams agree to the competition rules and the platform terms.
+- The organizers may update the submission format or evaluation script with prior notice.

README.md

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+---
+license: other
+language:
+- en
+pretty_name: Event-Guided Video Depth Estimation Workshop Dataset
+tags:
+- computer-vision
+- depth-estimation
+- event-camera
+- video
+- low-light
+task_categories:
+- depth-estimation
+source_datasets:
+- DVD sde_in_release
+- DVD sde_out_release
+---
+
+# Event-Guided Video Depth Estimation Workshop Dataset
+
+This dataset is a mirrored and aligned workshop-ready version of the DVD event-guided video depth estimation data.
+
+It packages each scene into a canonical folder tree that aligns:
+
+- low-light RGB frames
+- per-frame event slices
+- a scene-level `lowlight_event.npz`
+- the matched depth ground truth copied from `inference_results/*/normal/depth.npz`
+
+The dataset is designed for direct upload to Hugging Face as a dataset repository.
+
+The official competition split is scene-level and uses a 6:2:2 train/val/test ratio by video count. The split is encoded directly in the top-level `train/`, `val/`, and `test/` folders.
+
+## Dataset Goals
+
+This dataset is intended for event-guided video depth estimation in low-light conditions.
+
+The expected input is:
+
+- low-light event data
+- low-light RGB images
+
+The expected output is:
+
+- aligned depth supervision for the corresponding scene
+
+## Directory Layout
+
+The canonical structure is:
+
+```text
+workshop_data/
+  train/
+    <scene_name>/
+      low/
+      normal/
+  val/
+    <scene_name>/
+      low/
+      normal/
+  test/
+    <scene_name>/
+      low/
+      normal/
+```
+
+Each scene directory contains a `manifest.json` with the release and split metadata.
+
+Each scene contains:
+
+```text
+scene_name/
+  low/
+    <timestamp>.png
+    <timestamp>.npz
+    lowlight_event.npz
+  normal/
+    <timestamp>.png
+    depth.npz
+    manifest.json
+```
+
+## File Semantics
+
+### Low-light RGB frames
+
+The PNG files under `low/` are the low-light image sequence used as model input.
+
+### Event slices
+
+Each per-frame `.npz` file in `low/` stores a slice of the event stream. The slices are timestamp-aligned and may overlap with neighboring slices in the raw source data. During materialization, the overlap is trimmed at timestamp boundaries so that adjacent slices do not double-count the same events.
+
+`lowlight_event.npz` stores the concatenated trimmed event stream for the scene.
+
+### Depth ground truth
+
+`normal/depth.npz` is copied from the corresponding inference result directory:
+
+`inference_results/<release>_png_depth/<scene>/normal/depth.npz`
+
+This file is used as the aligned depth target for evaluation and training.
+
+## Data Preparation
+
+The repository includes a preprocessing script:
+
+```bash
+python utils/process_workshop_data.py
+```
+
+By default it reads from:
+
+- `data/sde_in_release`
+- `data/sde_out_release`
+- `inference_results`
+
+and materializes the final dataset under:
+
+- `../workshop_data`
+
+## Intended Use
+
+This dataset is meant for research on event-guided video depth estimation under low-light conditions.
+
+Recommended usage:
+
+- feed low-light RGB sequences together with event information as input
+- use the copied `normal/depth.npz` as supervision or evaluation ground truth
+- keep the scene-level temporal alignment intact when training or evaluating temporal models
+
+## Notes
+
+- The dataset tree is already aligned for scene-level consumption.
+- The raw source event slices contain overlap; use the trimmed workshop copy instead of the raw source tree.
+- The competition split is by scene/video count, not by frame count.
+- The folder name itself is the split assignment; no separate top-level split manifest is required.
+
+## Competition Draft
+
+See [COMPETITION.md](COMPETITION.md) for a Codabench-style challenge description draft that follows the same page-tab structure as the reference competition.
+
+## Citation
+
+If you use this dataset, please cite the original DVD project and mention that you are using the workshop-aligned export.

val/i_12/manifest.json

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+{
+  "depth_shape": [
+    457,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 457,
+  "low_event_rows": 10225311,
+  "low_frame_count": 457,
+  "normal_frame_count": 457,
+  "release": "sde_in_release",
+  "scene": "i_12",
+  "source_split": "train",
+  "split": "val"
+}

val/i_120/manifest.json

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+{
+  "depth_shape": [
+    399,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 399,
+  "low_event_rows": 8745063,
+  "low_frame_count": 399,
+  "normal_frame_count": 399,
+  "release": "sde_in_release",
+  "scene": "i_120",
+  "source_split": "test",
+  "split": "val"
+}

val/i_27/manifest.json

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+{
+  "depth_shape": [
+    497,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 497,
+  "low_event_rows": 32484528,
+  "low_frame_count": 497,
+  "normal_frame_count": 497,
+  "release": "sde_in_release",
+  "scene": "i_27",
+  "source_split": "train",
+  "split": "val"
+}

val/i_30/manifest.json

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+{
+  "depth_shape": [
+    288,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 288,
+  "low_event_rows": 6847481,
+  "low_frame_count": 288,
+  "normal_frame_count": 288,
+  "release": "sde_in_release",
+  "scene": "i_30",
+  "source_split": "train",
+  "split": "val"
+}

val/i_63/manifest.json

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+{
+  "depth_shape": [
+    145,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 145,
+  "low_event_rows": 4708686,
+  "low_frame_count": 145,
+  "normal_frame_count": 145,
+  "release": "sde_in_release",
+  "scene": "i_63",
+  "source_split": "train",
+  "split": "val"
+}

val/i_84/manifest.json

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+{
+  "depth_shape": [
+    351,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 351,
+  "low_event_rows": 16315342,
+  "low_frame_count": 351,
+  "normal_frame_count": 351,
+  "release": "sde_in_release",
+  "scene": "i_84",
+  "source_split": "test",
+  "split": "val"
+}

val/i_96/manifest.json

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+{
+  "depth_shape": [
+    418,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 418,
+  "low_event_rows": 9682652,
+  "low_frame_count": 418,
+  "normal_frame_count": 418,
+  "release": "sde_in_release",
+  "scene": "i_96",
+  "source_split": "train",
+  "split": "val"
+}

val/o_105/manifest.json

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+{
+  "depth_shape": [
+    391,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 391,
+  "low_event_rows": 10227193,
+  "low_frame_count": 391,
+  "normal_frame_count": 391,
+  "release": "sde_out_release",
+  "scene": "o_105",
+  "source_split": "train",
+  "split": "val"
+}

val/o_114/manifest.json

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+{
+  "depth_shape": [
+    215,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 215,
+  "low_event_rows": 16330798,
+  "low_frame_count": 215,
+  "normal_frame_count": 215,
+  "release": "sde_out_release",
+  "scene": "o_114",
+  "source_split": "train",
+  "split": "val"
+}

val/o_117/manifest.json

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+{
+  "depth_shape": [
+    160,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 160,
+  "low_event_rows": 13472625,
+  "low_frame_count": 160,
+  "normal_frame_count": 160,
+  "release": "sde_out_release",
+  "scene": "o_117",
+  "source_split": "train",
+  "split": "val"
+}

val/o_126/manifest.json

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+{
+  "depth_shape": [
+    225,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 225,
+  "low_event_rows": 17319044,
+  "low_frame_count": 225,
+  "normal_frame_count": 225,
+  "release": "sde_out_release",
+  "scene": "o_126",
+  "source_split": "test",
+  "split": "val"
+}

val/o_132/manifest.json

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+{
+  "depth_shape": [
+    432,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 432,
+  "low_event_rows": 7069269,
+  "low_frame_count": 432,
+  "normal_frame_count": 432,
+  "release": "sde_out_release",
+  "scene": "o_132",
+  "source_split": "train",
+  "split": "val"
+}

val/o_135/manifest.json

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+{
+  "depth_shape": [
+    200,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 200,
+  "low_event_rows": 4617712,
+  "low_frame_count": 200,
+  "normal_frame_count": 200,
+  "release": "sde_out_release",
+  "scene": "o_135",
+  "source_split": "train",
+  "split": "val"
+}

val/o_39/manifest.json

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+{
+  "depth_shape": [
+    377,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 377,
+  "low_event_rows": 7470294,
+  "low_frame_count": 377,
+  "normal_frame_count": 377,
+  "release": "sde_out_release",
+  "scene": "o_39",
+  "source_split": "train",
+  "split": "val"
+}

val/o_54/manifest.json

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+{
+  "depth_shape": [
+    520,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 520,
+  "low_event_rows": 14649432,
+  "low_frame_count": 520,
+  "normal_frame_count": 520,
+  "release": "sde_out_release",
+  "scene": "o_54",
+  "source_split": "train",
+  "split": "val"
+}

val/o_66/manifest.json

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+{
+  "depth_shape": [
+    232,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 232,
+  "low_event_rows": 10586039,
+  "low_frame_count": 232,
+  "normal_frame_count": 232,
+  "release": "sde_out_release",
+  "scene": "o_66",
+  "source_split": "train",
+  "split": "val"
+}

val/o_72/manifest.json

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+{
+  "depth_shape": [
+    192,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 192,
+  "low_event_rows": 7876135,
+  "low_frame_count": 192,
+  "normal_frame_count": 192,
+  "release": "sde_out_release",
+  "scene": "o_72",
+  "source_split": "train",
+  "split": "val"
+}

val/o_9/manifest.json

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+{
+  "depth_shape": [
+    265,
+    260,
+    346,
+    1
+  ],
+  "depth_source_file": "depth.npz",
+  "low_event_frame_files": 265,
+  "low_event_rows": 4316905,
+  "low_frame_count": 265,
+  "normal_frame_count": 265,
+  "release": "sde_out_release",
+  "scene": "o_9",
+  "source_split": "train",
+  "split": "val"
+}