Dataset Versions

Try Pre-Trained Model
Versions
2023-08-11 12:15pm
v25
·
a year ago
2023-08-11 12:14pm
v24
·
a year ago
2023-08-11 12:12pm
v23
·
a year ago
2023-08-11 12:09pm
v22
·
a year ago
2023-08-11 12:09pm
v21
·
a year ago
2023-08-11 12:06pm
v20
·
a year ago
2023-08-11 10:41am
v19
·
a year ago
2023-08-01 11:28am
v17
·
a year ago
2023-08-01 10:19am
v16
·
a year ago
2023-08-01 10:18am
v15
·
a year ago
2023-07-31 3:47pm
v14
·
a year ago
2023-07-31 3:45pm
v13
·
a year ago
2023-07-13 1:52pm
v11
·
a year ago
2023-07-13 1:45pm
v10
·
a year ago
2023-07-13 1:45pm
v9
·
a year ago
2023-07-13 12:40pm
v7
·
a year ago
2023-07-13 12:28pm
v6
·
a year ago
2023-07-12 8:11am
v5
·
a year ago
2023-07-06 9:01am
v4
·
a year ago
2023-06-28 12:24pm
v3
·
a year ago
2023-06-22 11:28am
v2
·
2 years ago
2023-06-22 11:24am
v1
·
2 years ago
v21

2023-08-11 12:09pm

Generated on Aug 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.

2419 Total Images

View All Images

Dataset Split

Train Set 88%
2118Images
Valid Set 8%
201Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 11 remapped, 11 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -15% and +15%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 1% of pixels

Similar Projects

See More