Dataset Versions
Versions
2023-04-25 11:23pm
v12
· 2 years ago
2022-10-03 10:10pm
v11
· 2 years ago
2022-10-03 1:03am
v10
· 2 years ago
2022-10-03 1:03am
v9
· 2 years ago
2022-10-02 8:05pm
v8
· 2 years ago
2022-09-27 1:08am
v7
· 2 years ago
2022-07-30 11:14pm
v6
· 2 years ago
2022-07-30 8:52pm
v5
· 2 years ago
2022-07-29 2:42pm
v4
· 2 years ago
2022-07-29 1:35pm
v3
· 2 years ago
2022-07-29 1:08pm
v2
· 2 years ago
v5
2022-07-30 8:52pm
Generated on Jul 30, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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.
8100 Total Images
View All Images
Dataset Split
Train Set 91%
7350Images
Valid Set 6%
500Images
Test Set 3%
250Images
Preprocessing
Static Crop: 12-75% Horizontal Region, 23-81% Vertical Region
Tile: 5 rows x 5 columns
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%