Dataset Versions
Versions
beenet_640
v13
· 3 years ago
beenet_original_size
v12
· 3 years ago
70-30_p2_a4_paul
v11
· 3 years ago
70-30_p2_a3_paul
v10
· 3 years ago
70-30_p2_a2_paul
v9
· 3 years ago
70-30_p5_a0_paul
v8
· 3 years ago
70-30_p4_a0_paul
v7
· 3 years ago
70-30_p3_a0_paul
v6
· 3 years ago
70-30_p2_a0_paul
v5
· 3 years ago
70-30_p0_a1_paul
v4
· 3 years ago
70-30_p1_a0_p
v3
· 3 years ago
70-30_no-pre_no-aug
v2
· 3 years ago
Original
v1
· 3 years ago
v4
70-30_p0_a1_paul
Generated on Jan 9, 2022
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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6428 Total Images
View All Images
Dataset Split
Train Set 88%
5628Images
Valid Set 12%
800Images
Test Set %
0Images
Preprocessing
No preprocessing steps were 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
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 8% of pixels
Cutout: 15 boxes with 15% size each
Mosaic: Applied