Dataset Versions

Versions
2023-10-20 2:37pm
v15
·
a year ago
2023-10-20 11:22am
v14
·
a year ago
2023-10-20 11:11am
v13
·
a year ago
2023-10-18 11:29am
v12
·
a year ago
2023-10-18 11:22am
v11
·
a year ago
2023-10-18 10:46am
v10
·
a year ago
2023-10-17 2:40pm
v9
·
a year ago
2023-10-17 12:23pm
v8
·
a year ago
2023-10-17 7:38am
v7
·
a year ago
2023-10-17 7:09am
v6
·
a year ago
2023-10-16 7:54am
v5
·
a year ago
2023-10-16 7:44am
v4
·
a year ago
2023-10-16 7:41am
v3
·
a year ago
2023-10-16 7:33am
v2
·
a year ago
2023-10-16 6:28am
v1
·
a year ago
v6

2023-10-17 7:09am

Generated on Oct 17, 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.

9998 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 93%
9300Images
Valid Set 7%
698Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 10% of pixels

Similar Projects

See More
Object Detection Model snap
Final-V1 First
3.2k images 1 model