Dataset Versions

Versions
2024-08-06 7:02am
v23
·
5 months ago
2024-07-09 6:42am
v22
·
5 months ago
2024-06-25 8:40am
v21
·
6 months ago
2024-06-21 8:11am
v20
·
6 months ago
2024-06-20 2:37pm
v19
·
6 months ago
2024-06-19 4:55pm
v18
·
6 months ago
2024-06-18 12:56pm
v17
·
6 months ago
2024-06-17 11:49am
v16
·
6 months ago
2024-06-14 2:42pm
v15
·
6 months ago
2024-06-14 2:26pm
v14
·
6 months ago
2024-06-12 12:45pm
v13
·
6 months ago
2024-05-30 3:15pm
v11
·
7 months ago
2024-05-24 9:41am
v10
·
7 months ago
2024-05-21 11:41am
v9
·
7 months ago
2024-05-21 10:46am
v8
·
7 months ago
2024-05-17 5:10pm
v7
·
7 months ago
2024-05-17 2:16pm
v6
·
7 months ago
2024-05-16 12:04pm
v5
·
7 months ago
2024-05-15 5:52pm
v4
·
7 months ago
2024-05-06 7:10pm
v3
·
8 months ago
2024-04-25 2:21pm
v2
·
8 months ago
2024-04-24 7:05pm
v1
·
8 months ago
v10

2024-05-24 9:41am

Generated on May 24, 2024
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.

476 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 89%
423Images
Valid Set 11%
52Images
Test Set 0%
1Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Noise: Up to 1.88% of pixels

Similar Projects

See More