Dataset Versions
Versions
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v9
· 9 months ago
Mid perfect zoom 250img
v8
· 9 months ago
2024-02-25 6:40pm
v7
· 9 months ago
2024-02-25 5:12pm
v6
· 9 months ago
2024-02-25 4:51pm
v5
· 9 months ago
2024-02-25 2:51pm
v4
· 9 months ago
2024-02-24 7:52pm
v3
· 9 months ago
2024-02-24 6:59pm
v2
· 9 months ago
2024-02-14 7:34pm
v1
· 9 months ago
v5
2024-02-25 4:51pm
Generated on Feb 25, 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
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220 Total Images
View All Images
Dataset Split
Train Set 87%
192Images
Valid Set 9%
20Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±4° Horizontal, ±6° Vertical
Exposure: Between -6% and +6%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 3% Maximum Zoom