Dataset Versions
Versions
2022-09-14 9-56amBigGlue_noTile
v9
· 2 years ago
2022-09-13 7-51pmBigGlue
v8
· 2 years ago
2022-08-11 6:49pm
v7
· 2 years ago
2022-08-11 3:16pm
v6
· 2 years ago
2022-08-10 6:33pm
v5
· 2 years ago
2022-08-10 2:41pm
v4
· 2 years ago
2022-08-10 2:38pm
v3
· 2 years ago
2022-08-10 2:35pm
v2
· 2 years ago
2022-08-09 4:06pm
v1
· 2 years ago
v2
2022-08-10 2:35pm
Generated on Aug 10, 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.
1192 Total Images
View All Images
Dataset Split
Train Set 92%
1092Images
Valid Set 8%
100Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 35-76% Horizontal Region, 27-49% Vertical Region
Tile: 1 rows x 2 columns
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 1% of pixels