datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CameraBench
📷 CameraBench: Towards Understanding Camera Motions in Any Video
SfMs and VLMs performance on CameraBench: Generative VLMs (evaluated with VQAScore) trail classical SfM/SLAM in pure geometry, yet they outperform discriminative VLMs that rely on CLIPScore/ITMScore and—even better—capture scene‑aware semantic cues missed by SfM
After simple supervised fine‑tuning (SFT) on ≈1,400 extra annotated clips, our 7B Qwen2.5‑VL doubles its AP, outperforming the current best… See the full description on the dataset page: https://huggingface.co/datasets/syCen/CameraBench.CameraBench-Pro
CameraBench-Pro
This dataset contains the testing split for the CameraBench-Pro evaluation.
Arena-DROID-Camera-Sensitivity-Workflow-Sample
Arena DROID Camera Sensitivity Workflow Sample
Dataset Description
Arena-DROID-Camera-Sensitivity-Workflow-Sample is a compact set of episode-level results generated by an Isaac Lab-Arena simulation experiment. It lets users run the documented camera sensitivity analysis without first executing the policy-evaluation sweep.
The experiment evaluates an OpenPI pi05 policy on a DROID Rubik's-cube pick-and-place task while independently varying the wrist-camera… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Arena-DROID-Camera-Sensitivity-Workflow-Sample.camera-lens-body-adapter-compatibility
Camera mount flange focal distance and adapter feasibility
Canonical, always-current version: https://referencesource.org/camera-lens-body-adapter-compatibility/
Machine-readable: https://referencesource.org/camera-lens-body-adapter-compatibility/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-13
Stale after: 2028-08-12 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 201
Flange focal distance… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/camera-lens-body-adapter-compatibility.1000-Segments-6-camera-Egocentric-Embodied-AI-Data-Sample
1000-Segments-6-camera-Egocentric-Embodied-AI-Dataset
Description
10,000-Hour Egocentric Full-Body Multimodal Dataset Purpose-built for fine-grained embodied AI manipulation training, spanning diverse real-world scenarios with high-definition stereoscopic video, full-body joint poses, and high-density semantic annotations.
For more details, please refer to the link: https://www.nexdata.ai/datasets/embodied-ai/2236?source=Huggingface
Specifications… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/1000-Segments-6-camera-Egocentric-Embodied-AI-Data-Sample.bghira_pseudo-camera-10k-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT
bghira_pseudo-camera-10k-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT
bghira/pseudo-camera-10k with responses/captions generated with gemini-2.0-flash-thinking-exp-1219.
The format should be similar to that of liuhaotian/LLaVA-Instruct-150K.
Images can be found in the images.zip folder. The zip also contains .txt captions for ease of use in non-VQA tasks.
Generation Details
If BlockedPromptException, StopCandidateException, or InvalidArgument was returned, the… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Images/bghira_pseudo-camera-10k-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT.camera-shot-templates
Camera Shot Templates
镜头语言模板库：镜头类型、运镜、灯光、情绪、Kling 示例 Prompt。
cameraCalibrationData
Galaxea R1 Lite distortion-corrected camera sample
This is a stationary ROS 2 data-collection test made on 2026-07-26. No
chassis, torso, arm, gripper, IK, teleoperation, odometry, or pose-control
command was run during the test.
Result
Stream
Resolution
Messages
Effective bag rate
Head left, rectified
1920 x 1536
318
26.1 FPS
Head right, rectified
1920 x 1536
320
26.3 FPS
Wrist left, unchanged
1280 x 720
364
29.9 FPS
Wrist right, unchanged
1280 x… See the full description on the dataset page: https://huggingface.co/datasets/JimmyH16/cameraCalibrationData.camerabench_binary
示例条目展示
以下是如何读取 camerabench_binary.jsonl 文件中的前100个条目并进行展示的示例代码：
import jsonlines
# 假设文件已经在当前工作目录
filename = "camerabench_binary.jsonl"
# 读取并展示前100个条目
with jsonlines.open(filename) as reader:
for i, obj in enumerate(reader):
print(f"条目 {i+1}: {obj}")
if i >= 99: # 只展示前100个条目break
camera_leftcamera-scene-labels-json
Camera Scene Labels Dataset
JSON dataset for labeling indoor scenes captured
by humanoid robot cameras.
flux_camera_backward