Dataset Versions
Versions
2024-09-03 1:08am
v14
· 2 months ago
2024-08-31 5:08pm
v13
· 3 months ago
2024-07-01 1:28am
v12
· 5 months ago
640x640 2024-06-30 12-42pm
v11
· 5 months ago
2024-06-27 7-58am -NO AUGMENTATION-
v10
· 5 months ago
2024-06-27 7:51am
v9
· 5 months ago
2024-06-26 8:43pm
v8
· 5 months ago
2024-06-24 9:48pm
v7
· 5 months ago
2024-06-24 9:42pm
v6
· 5 months ago
2024-06-24 9:41pm
v5
· 5 months ago
2024-06-24 9:39pm
v4
· 5 months ago
2024-06-24 9:32pm
v3
· 5 months ago
2024-06-24 9:20pm
v2
· 5 months ago
2024-06-24 8:09pm
v1
· 5 months ago
v4
2024-06-24 9:39pm
Generated on Jun 24, 2024
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.
381 Total Images
View All Images
Dataset Split
Train Set 85%
324Images
Valid Set 9%
33Images
Test Set 6%
24Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -180° and +180°
Saturation: Between -69% and +69%
Brightness: Between -10% and +10%
Exposure: Between -2% and +2%
Blur: Up to 0.6px
Noise: Up to 10% of pixels
Bounding Box: Rotation: Between -5° and +5°