Dataset Versions
Versions
2021-08-31_nyaste
v9
· 3 years ago
2021-08-31 1:38pm
v8
· 3 years ago
2021-08-28_improved_dataset
v7
· 3 years ago
2021-08-24 6:28am
v6
· 3 years ago
2021-08-23 all_annotated_v-2
v5
· 3 years ago
2021-08-23_all_annotated
v4
· 3 years ago
2021-08-23 8:20pm
v3
· 3 years ago
2021-08-23 7:56am
v2
· 3 years ago
2021-08-21 1:32pm
v1
· 3 years ago
v4
2021-08-23_all_annotated
Generated on Aug 23, 2021
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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2510 Total Images
View All Images
Dataset Split
Train Set 87%
2196Images
Valid Set 10%
263Images
Test Set 2%
51Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -5% and +5%
Blur: Up to 1px