Dataset Versions
Versions
2022-07-22 4:15pm
v11
· 2 years ago
2022-07-22 8:33am
v10
· 2 years ago
2022-07-22 8:25am
v9
· 2 years ago
2022-07-22 7:58am
v8
· 2 years ago
2022-07-19 1:22pm
v7
· 2 years ago
c008 - c019
v6
· 2 years ago
c01-07
v5
· 2 years ago
selected 5 group C
v4
· 3 years ago
selected 5 group B
v3
· 3 years ago
selected 5 first test
v2
· 3 years ago
2022-06-11 7:01am
v1
· 3 years ago
v8
2022-07-22 7:58am
Generated on Jul 22, 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.
1320 Total Images
View All Images
Dataset Split
Train Set 89%
1178Images
Valid Set 6%
73Images
Test Set 5%
69Images
Preprocessing
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 41 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±9° Horizontal, ±20° Vertical
Brightness: Between -38% and +38%
Noise: Up to 3% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise