nganle

Edit Project

bien3

Object Detection

bien3 Image Dataset

Try Pre-Trained Model
Versions
kytu-Bien3-addBien-zin
v23
May 23, 2022
bien3-kytu-zin
v22
May 23, 2022
bien3-31char-zin
v21
May 23, 2022
2022-05-19 4:15pm-train
v20
May 19, 2022
2022-05-19 4:11pm-ori
v19
May 19, 2022
chuanalpha-2022-05-17 3:41pm
v18
May 17, 2022
chuan-2022-05-17 2:47pm
v17
May 17, 2022
chuanhoatt-2022-05-17 2:14pm
v16
May 17, 2022
2022-05-16 6:18pm
v15
May 16, 2022
2022-05-16 11:41am
v14
May 16, 2022
2022-05-13 8:55am
v13
May 13, 2022
2022-05-12 5:02pm
v12
May 12, 2022
2022-05-12 5:01pm
v11
May 12, 2022
2022-05-10 6:20pm
v10
May 10, 2022
2022-05-10 6:15pm
v9
May 10, 2022
2022-05-10 6:12pm
v8
May 10, 2022
2022-05-10 6:08pm
v7
May 10, 2022
2022-05-06 2:02pm
v6
May 6, 2022
2022-05-06 1:56pm
v5
May 6, 2022
2022-05-05 5:23pm
v4
May 5, 2022
2022-05-05 3:53pm
v3
May 5, 2022
2022-05-05 3:38pm
v2
May 5, 2022
2022-04-25 5:52pm
v1
Apr 25, 2022
v8

2022-05-10 6:12pm

Generated on May 10, 2022
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

411 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 90%
369Images
Valid Set %
0Images
Test Set 10%
42Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -28% and +28%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 10% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px