Dataset Versions
Versions
2021-05-05 2:58am
v40
· 4 years ago
raccons-modelplace
v39
· 4 years ago
416x416-resize
v38
· 4 years ago
416x416-resize2
v37
· 4 years ago
500x500-augmentations
v34
· 4 years ago
resize500x500-augmentations
v33
· 4 years ago
grant-ex
v32
· 5 years ago
noise-only-6
v31
· 5 years ago
noise-only
v30
· 5 years ago
gray-contrast-noise
v29
· 5 years ago
gray-noise
v28
· 5 years ago
another-one
v27
· 5 years ago
example-less-contrast
v26
· 5 years ago
example-dan
v25
· 5 years ago
reflect-800x400
v24
· 5 years ago
2020-02-25 1:38pm
v23
· 5 years ago
reflect-801x400
v22
· 5 years ago
2020-02-25 1:35pm
v21
· 5 years ago
reflect-800x400
v20
· 5 years ago
reflect-800x400
v19
· 5 years ago
original
v18
· 5 years ago
reflect-test
v17
· 5 years ago
fill-416x416-crop-50
v16
· 5 years ago
crop-50
v15
· 5 years ago
horizontal-shear-15
v14
· 5 years ago
horizontal-shear-15
v13
· 5 years ago
hist-eq
v12
· 5 years ago
reflect-800x400
v11
· 5 years ago
resize-reflect
v10
· 5 years ago
resize416x416
v9
· 5 years ago
resize416x416
v8
· 5 years ago
resize416x416
v7
· 5 years ago
resize-reflect-annotations
v6
· 5 years ago
center-crop-in
v5
· 5 years ago
416x416-resize
v4
· 5 years ago
center-crop-in
v3
· 5 years ago
raw
v2
· 5 years ago
v34
500x500-augmentations
Generated on May 31, 2020
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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496 Total Images
View All Images
Dataset Split
Train Set 91%
450Images
Valid Set 6%
29Images
Test Set 3%
17Images
Preprocessing
Resize: Fit (black edges) in 500x500
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%