Dataset Versions
Versions
2021-09-23 7:08am
v10
· 3 years ago
2021-09-23 7:02am
v9
· 3 years ago
2021-09-23 6:59am
v8
· 3 years ago
2021-09-23 6:54am
v7
· 3 years ago
2021-09-23 6:49am
v6
· 3 years ago
2021-08-19 9:20am
v5
· 3 years ago
2021-08-19 9:11am
v4
· 3 years ago
2021-08-19 8:54am
v3
· 3 years ago
2021-08-19 8:16am
v2
· 3 years ago
2021-08-19 7:59am
v1
· 3 years ago
v2
2021-08-19 8:16am
Generated on Aug 19, 2021
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.
3780 Total Images
View All Images
Dataset Split
Train Set 100%
3780Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels
Cutout: 5 boxes with 15% size each
Mosaic: Applied