Datasets:
cls string | custom_metrics null | ytrue list | ypred list | confs list | weights null | ytrue_ids list | ypred_ids list | classes list | missing string | ious list | precision list | recall list | iou_threshs list | recall_sweep list | thresholds list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fiftyone.utils.eval.coco.COCODetectionResults | null | ["box","scissors","scissors","cloth","gripper","brick","box","scissors","(none)","cloth","brick","(n(...TRUNCATED) | ["box","scissors","(none)","cloth","gripper","brick","box","scissors","scissors","cloth","brick","gr(...TRUNCATED) | [0.9813125729560852,0.8779915571212769,null,0.9723678827285767,0.7464904189109802,0.824324905872345,(...TRUNCATED) | null | ["6aad8de5acd20977ed3e7f59","6aad8de5acd20977ed3e7f5a","6aad8de5acd20977ed3e7f5b","6aad8de5acd20977e(...TRUNCATED) | ["6aada563ed5d4b71c6c6f71d","6aada563ed5d4b71c6c6f71f",null,"6aada563ed5d4b71c6c6f71e","6aada563ed5d(...TRUNCATED) | [
"box",
"brick",
"cloth",
"drawer",
"gripper",
"robot_arm",
"scissors"
] | (none) | [0.9501699761423662,0.9389973728019395,null,0.9858953662846327,0.5771965640305268,0.9888763692974386(...TRUNCATED) | [[[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.9974874371859297,0.9974874371859297,0.997487437(...TRUNCATED) | [0.0,0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.1,0.11,0.12,0.13,0.14,0.15,0.16,0.17,0.18,0.19,0(...TRUNCATED) | [
0.5,
0.55,
0.6,
0.65,
0.7,
0.75,
0.8,
0.85,
0.9,
0.95
] | [[0.8138373751783167,0.7287390029325513,0.8575827559661278,0.816,0.7755102040816326,0.64141414141414(...TRUNCATED) | [[[0.9849119186401367,0.982879102230072,0.9822449684143066,0.9817851781845093,0.9811966419219971,0.9(...TRUNCATED) |
Dataset Card for droid-frames
This is a FiftyOne dataset with 5172 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("dgural/droid-frames-workshop")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details
Dataset Description
- Curated by: [More Information Needed]
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- Language(s) (NLP): en
- License: cc-by-4.0
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Source Data
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