Dataset Versions

Try Pre-Trained Model
Versions
2023-12-12 4:21pm
v23
·
a year ago
2023-12-11 10:23am
v22
·
a year ago
2023-12-07 12:01am
v21
·
a year ago
2023-12-06 11:36pm
v20
·
a year ago
2023-12-06 11:16pm
v19
·
a year ago
2023-12-06 10:54pm
v18
·
a year ago
2023-12-04 10:49pm
v17
·
a year ago
2023-12-04 7:24pm
v16
·
a year ago
2023-12-04 6:46pm
v15
·
a year ago
2023-12-04 4:09pm
v14
·
a year ago
2023-12-04 3:31pm
v13
·
a year ago
2023-12-04 3:12pm
v12
·
a year ago
2023-12-03 11:51pm
v11
·
a year ago
2023-12-03 11:34pm
v10
·
a year ago
2023-12-03 11:25pm
v9
·
a year ago
2023-12-03 11:23pm
v8
·
a year ago
2023-12-03 11:18pm
v7
·
a year ago
2023-12-03 11:15pm
v6
·
a year ago
2023-12-03 8:39pm
v5
·
a year ago
2023-11-30 6:39am
v4
·
a year ago
2023-11-20 7:51pm
v3
·
a year ago
2023-11-20 2:59pm
v2
·
a year ago
2023-11-09 4:18pm
v1
·
a year ago
v22

2023-12-11 10:23am

Generated on Dec 11, 2023
Download

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.

720 Total Images

View All Images
Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 88%
630Images
Valid Set 8%
60Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Grayscale: Apply to 20% of images

Similar Projects

See More