Dataset Versions
Versions
80- 10- 10 ratio
v8
· 10 months ago
Latest version used for training -70-20-10-
v7
· a year ago
2023-12-08 6:28pm
v6
· a year ago
2023-12-06 10:27am
v5
· a year ago
2023-11-13 10:54pm
v4
· a year ago
2023-11-13 7:48am
v3
· a year ago
2023-11-10 11:00am
v2
· a year ago
2023-10-30 8:27am
v1
· a year ago
v8
80- 10- 10 ratio
Generated on Jan 16, 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.
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395 Total Images
View All Images
Dataset Split
Train Set 92%
363Images
Valid Set 4%
16Images
Test Set 4%
16Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -15% and +15%
Exposure: Between -15% and +15%