Dataset Versions
Versions
2023-05-22 1-29pm - multi pt 2
v8
· 2 years ago
2023-05-22 12-22pm - multi pt 1
v7
· 2 years ago
2023-05-22 11-52am - jeffs
v6
· 2 years ago
2023-05-22 11-22am - compare with Jeffrey-s
v5
· 2 years ago
2023-05-22 7-14am -1095 images - best version-
v4
· 2 years ago
2023-05-22 5:29am
v3
· 2 years ago
2023-05-22 3:40am
v2
· 2 years ago
2023-05-22 2:16am
v1
· 2 years ago
v4
2023-05-22 7-14am -1095 images - best version-
Generated on May 22, 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.
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2887 Total Images
View All Images
Dataset Split
Train Set 93%
2688Images
Valid Set 5%
131Images
Test Set 2%
68Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels