Dataset Versions
Versions
2024-01-24 11:38pm
v13
· 10 months ago
2024-01-23 11-19pm noaug
v12
· 10 months ago
2024-01-08 12-17am 1000pics
v11
· a year ago
2023-12-16 12-16pm 400vals
v10
· a year ago
2023-12-16 12-12pm 100vals
v9
· a year ago
2023-12-15 11:06pm
v8
· a year ago
2023-12-15 11:04pm
v7
· a year ago
2023-03-09 8:31pm
v3
· 2 years ago
2023-03-09 3:11pm
v2
· 2 years ago
2023-03-09 3:05pm
v1
· 2 years ago
v7
2023-12-15 11:04pm
Generated on Dec 15, 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.
4524 Total Images
View All Images
Dataset Split
Train Set 100%
4524Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Noise: Up to 3% of pixels
Cutout: 4 boxes with 3% size each
Mosaic: Applied