Dataset Versions
Versions
pigeon_flock_512x512black
v18
· a year ago
pigeon_flock_320x320black_v2
v17
· a year ago
pigeon_flock_320x320black
v16
· a year ago
pigeon_flock_640x640black
v15
· a year ago
Pigeon_Flocks_Final
v14
· a year ago
2023-10-08 3:25pm
v13
· a year ago
2023-10-08 3:24pm
v12
· a year ago
Pigeon_Flocks
v11
· a year ago
2023-10-06 11:27am
v10
· a year ago
2023-10-06 11:20am
v9
· a year ago
2023-09-10 8:10pm
v8
· a year ago
2023-09-09 9:41pm
v7
· a year ago
2023-09-09 9:05pm
v6
· a year ago
2023-09-09 9:03pm
v5
· a year ago
2023-09-08 1:40pm
v4
· a year ago
2023-03-31 11:52pm
v3
· 2 years ago
2023-03-27 5:11pm
v2
· 2 years ago
2023-03-27 4:48pm
v1
· 2 years ago
v14
Pigeon_Flocks_Final
Generated on Oct 8, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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744 Total Images
View All Images
Dataset Split
Train Set 81%
600Images
Valid Set 10%
72Images
Test Set 10%
72Images
Preprocessing
Modify Classes: 3 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 5% of pixels
Mosaic: Applied