Dataset Versions
Versions
2023-05-30 11:57am
v12
· 2 years ago
2023-05-24 12:22pm
v10
· 2 years ago
2023-05-24 11:45am
v9
· 2 years ago
2023-05-23 3:49pm
v8
· 2 years ago
2023-05-23 11:49am
v6
· 2 years ago
2023-05-23 10:59am
v5
· 2 years ago
2023-05-22 10:58pm
v3
· 2 years ago
2023-05-22 10:52pm
v2
· 2 years ago
2023-05-22 3:33pm
v1
· 2 years ago
v6
2023-05-23 11:49am
Generated on May 23, 2023
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.
744 Total Images
View All Images
Dataset Split
Train Set 81%
600Images
Valid Set 11%
80Images
Test Set 9%
64Images
Preprocessing
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels