About BirdWatch
The BirdWatch Project aims to provide a solution to a simple problem that many wildlife photographers face: a way to identify the birds in their photographs
Built by an amateur photographer and a machine learning enthusiast, this project hopes to provide a solution to this problem using AI/Deep Learning and Computer Vision. BirdWatch can also be a useful tool for bird and nature enthusiasts, researchers and academics.
Application Changelog: See the BirdWatch application details page
The system can currently identify the following 312 species of birds:
| Bird ID | Bird Name |
|---|---|
| 1 | Acadian Flycatcher |
| 2 | Alexandrine Parakeet |
| 3 | Alpine Swift |
| 4 | American Crow |
| 5 | American Goldfinch |
| 6 | American Pipit |
| 7 | American Redstart |
| 8 | American Three toed Woodpecker |
| 9 | Amur Falcon |
| 10 | Anna Hummingbird |
| 11 | Artic Tern |
| 12 | Ashy Drongo |
| 13 | Ashy Prinia |
| 14 | Ashy Woodswallow |
| 15 | Ashy-crowned Sparrow Lark |
| 16 | Asian Brown Flycatcher |
| 17 | Asian Emerald Cuckoo |
| 18 | Asian Fairy Bluebird |
| 19 | Asian Koel |
| 20 | Asian Openbill |
| 21 | Asian Palm Swift |
| 22 | Asian Paradise-flycatcher |
| 23 | Asian Pied Starling |
| 24 | Asiatic Dowitcher |
| 25 | Atlantic Puffin |
| 26 | Baird Sparrow |
| 27 | Baltimore Oriole |
| 28 | Banded Bay Cuckoo |
| 29 | Bank Swallow |
| 30 | Bar-tailed Godwit |
| 31 | Bar-winged Flycatcher-shrike |
| 32 | Barn Owl |
| 33 | Barn Swallow |
| 34 | Bay breasted Warbler |
| 35 | Bay-backed Shrike |
| 36 | Baya Weaver |
| 37 | Belted Kingfisher |
| 38 | Besra |
| 39 | Bewick Wren |
| 40 | Black Bittern |
| 41 | Black Bulbul |
| 42 | Black Drongo |
| 43 | Black Eagle |
| 44 | Black Kite |
| 45 | Black Noddy |
| 46 | Black Stork |
| 47 | Black Tern |
| 48 | Black and white Warbler |
| 49 | Black billed Cuckoo |
| 50 | Black capped Vireo |
| 51 | Black footed Albatross |
| 52 | Black throated Blue Warbler |
| 53 | Black throated Sparrow |
| 54 | Black-and-Orange Flycatcher |
| 55 | Black-capped Kingfisher |
| 56 | Black-crested Bulbul |
| 57 | Black-crowned Night Heron |
| 58 | Black-headed Gull |
| 59 | Black-headed Ibis |
| 60 | Black-headed Munia |
| 61 | Black-hooded Oriole |
| 62 | Black-naped Monarch |
| 63 | Black-naped Tern |
| 64 | Black-necked Stork |
| 65 | Black-rumped Flameback |
| 66 | Black-tailed Godwit |
| 67 | Black-throated Munia |
| 68 | Black-winged Kite |
| 69 | Black-winged Stilt |
| 70 | Blue Grosbeak |
| 71 | Blue Jay |
| 72 | Blue Rock Thrush |
| 73 | Blue headed Vireo |
| 74 | Blue winged Warbler |
| 75 | Blue-eared Kingfisher |
| 76 | Blue-faced Malkoha |
| 77 | Blue-tailed Bee-eater |
| 78 | Bluethroat |
| 79 | Boat tailed Grackle |
| 80 | Bobolink |
| 81 | Bohemian Waxwing |
| 82 | Brahminy Kite |
| 83 | Brandt Cormorant |
| 84 | Brewer Blackbird |
| 85 | Brewer Sparrow |
| 86 | Bronzed Cowbird |
| 87 | Brown Creeper |
| 88 | Brown Fish Owl |
| 89 | Brown Pelican |
| 90 | Brown Thrasher |
| 91 | Cactus Wren |
| 92 | California Gull |
| 93 | Canada Warbler |
| 94 | Cape Glossy Starling |
| 95 | Cape May Warbler |
| 96 | Cardinal |
| 97 | Carolina Wren |
| 98 | Caspian Tern |
| 99 | Cedar Waxwing |
| 100 | Cerulean Warbler |
| 101 | Ceylon Paradise-flycatcher |
| 102 | Changeable Hawk Eagle |
| 103 | Chestnut sided Warbler |
| 104 | Chestnut-headed Bee-eater |
| 105 | Chinese Pond Heron |
| 106 | Chipping Sparrow |
| 107 | Chuck will Widow |
| 108 | Clark Nutcracker |
| 109 | Clay colored Sparrow |
| 110 | Cliff Swallow |
| 111 | Common Buzzard |
| 112 | Common Coot |
| 113 | Common Greenshank |
| 114 | Common Hawk Cuckoo |
| 115 | Common Hoopoe |
| 116 | Common Iora |
| 117 | Common Kestrel |
| 118 | Common Kingfisher |
| 119 | Common Moorhen |
| 120 | Common Myna |
| 121 | Common Pochard |
| 122 | Common Quail |
| 123 | Common Raven |
| 124 | Common Redshank |
| 125 | Common Ringed Plover |
| 126 | Common Sandpiper |
| 127 | Common Snipe |
| 128 | Common Tailorbird |
| 129 | Common Tern |
| 130 | Common Woodshrike |
| 131 | Common Yellowthroat |
| 132 | Cotton Pygmy-goose |
| 133 | Crested Auklet |
| 134 | Crested Serpent Eagle |
| 135 | Dark eyed Junco |
| 136 | Downy Woodpecker |
| 137 | Eared Grebe |
| 138 | Eastern Towhee |
| 139 | Elegant Tern |
| 140 | European Goldfinch |
| 141 | European Nightjar |
| 142 | Evening Grosbeak |
| 143 | Field Sparrow |
| 144 | Fish Crow |
| 145 | Florida Jay |
| 146 | Forsters Tern |
| 147 | Fox Sparrow |
| 148 | Frigatebird |
| 149 | Gadwall |
| 150 | Geococcyx |
| 151 | Glaucous winged Gull |
| 152 | Golden winged Warbler |
| 153 | Grasshopper Sparrow |
| 154 | Gray Catbird |
| 155 | Gray Kingbird |
| 156 | Gray crowned Rosy Finch |
| Bird ID | Bird Name |
|---|---|
| 157 | Great Bittern |
| 158 | Great Cormorant |
| 159 | Great Crested Flycatcher |
| 160 | Great Crested Tern |
| 161 | Great Egret |
| 162 | Great Frigatebird |
| 163 | Great Grey Shrike |
| 164 | Great Knot |
| 165 | Great Thick-knee |
| 166 | Great Tit |
| 167 | Great White Pelican |
| 168 | Green Bee-eater |
| 169 | Green Imperial Pigeon |
| 170 | Green Jay |
| 171 | Green Kingfisher |
| 172 | Green Violetear |
| 173 | Green tailed Towhee |
| 174 | Grey Heron |
| 175 | Groove billed Ani |
| 176 | Harris Sparrow |
| 177 | Heermann Gull |
| 178 | Henslow Sparrow |
| 179 | Herring Gull |
| 180 | Hooded Merganser |
| 181 | Hooded Oriole |
| 182 | Hooded Warbler |
| 183 | Horned Grebe |
| 184 | Horned Lark |
| 185 | Horned Puffin |
| 186 | House Sparrow |
| 187 | House Wren |
| 188 | Indian Nightjar |
| 189 | Indian Peafowl |
| 190 | Indian Robin |
| 191 | Indigo Bunting |
| 192 | Intermediate Egret |
| 193 | Ivory Gull |
| 194 | Kentucky Warbler |
| 195 | Laysan Albatross |
| 196 | Lazuli Bunting |
| 197 | Le Conte Sparrow |
| 198 | Least Auklet |
| 199 | Least Flycatcher |
| 200 | Least Tern |
| 201 | Lesser Whistling-duck |
| 202 | Lincoln Sparrow |
| 203 | Little Egret |
| 204 | Loggerhead Shrike |
| 205 | Long tailed Jaeger |
| 206 | Louisiana Waterthrush |
| 207 | Magnolia Warbler |
| 208 | Malabar Pied Hornbill |
| 209 | Mallard |
| 210 | Mandarin |
| 211 | Mangrove Cuckoo |
| 212 | Marsh Wren |
| 213 | Mockingbird |
| 214 | Mourning Warbler |
| 215 | Myrtle Warbler |
| 216 | Nashville Warbler |
| 217 | Nelson Sharp tailed Sparrow |
| 218 | Nighthawk |
| 219 | Northern Flicker |
| 220 | Northern Fulmar |
| 221 | Northern Waterthrush |
| 222 | Olive sided Flycatcher |
| 223 | Orange crowned Warbler |
| 224 | Orange-breasted Green-pigeon |
| 225 | Orchard Oriole |
| 226 | Oriental Darter |
| 227 | Ovenbird |
| 228 | Pacific Loon |
| 229 | Painted Bunting |
| 230 | Painted Stork |
| 231 | Palm Warbler |
| 232 | Parakeet Auklet |
| 233 | Pelagic Cormorant |
| 234 | Pheasent-tailed Jacana |
| 235 | Philadelphia Vireo |
| 236 | Pied Kingfisher |
| 237 | Pied billed Grebe |
| 238 | Pigeon Guillemot |
| 239 | Pileated Woodpecker |
| 240 | Pine Grosbeak |
| 241 | Pine Warbler |
| 242 | Pintail Snipe |
| 243 | Pomarine Jaeger |
| 244 | Prairie Warbler |
| 245 | Prothonotary Warbler |
| 246 | Purple Finch |
| 247 | Red bellied Woodpecker |
| 248 | Red breasted Merganser |
| 249 | Red cockaded Woodpecker |
| 250 | Red eyed Vireo |
| 251 | Red faced Cormorant |
| 252 | Red headed Woodpecker |
| 253 | Red legged Kittiwake |
| 254 | Red winged Blackbird |
| 255 | Rhinoceros Auklet |
| 256 | Ring billed Gull |
| 257 | Ringed Kingfisher |
| 258 | Rock Wren |
| 259 | Rose breasted Grosbeak |
| 260 | Ruby throated Hummingbird |
| 261 | Rufous Hummingbird |
| 262 | Rusty Blackbird |
| 263 | Sage Thrasher |
| 264 | Savannah Sparrow |
| 265 | Sayornis |
| 266 | Scarlet Tanager |
| 267 | Scissor tailed Flycatcher |
| 268 | Scott Oriole |
| 269 | Seaside Sparrow |
| 270 | Shiny Cowbird |
| 271 | Slaty backed Gull |
| 272 | Song Sparrow |
| 273 | Sooty Albatross |
| 274 | Spotted Catbird |
| 275 | Spotted Dove |
| 276 | Sri Lanka Grey Hornbill |
| 277 | Sri Lanka Junglefowl |
| 278 | Sri Lanka Spurfowl |
| 279 | Sri Lanka Yellow-fronted Barbet |
| 280 | Summer Tanager |
| 281 | Swainson Warbler |
| 282 | Tennessee Warbler |
| 283 | Toucan |
| 284 | Tree Sparrow |
| 285 | Tree Swallow |
| 286 | Tropical Kingbird |
| 287 | Vermilion Flycatcher |
| 288 | Vesper Sparrow |
| 289 | Warbling Vireo |
| 290 | Western Grebe |
| 291 | Western Gull |
| 292 | Western Meadowlark |
| 293 | Western Wood Pewee |
| 294 | Whip poor Will |
| 295 | White Pelican |
| 296 | White breasted Kingfisher |
| 297 | White breasted Nuthatch |
| 298 | White crowned Sparrow |
| 299 | White eyed Vireo |
| 300 | White necked Raven |
| 301 | White throated Sparrow |
| 302 | White-rumped Shama |
| 303 | Wilson Warbler |
| 304 | Winter Wren |
| 305 | Wood Duck |
| 306 | Worm eating Warbler |
| 307 | Yellow Warbler |
| 308 | Yellow bellied Flycatcher |
| 309 | Yellow billed Cuckoo |
| 310 | Yellow breasted Chat |
| 311 | Yellow headed Blackbird |
| 312 | Yellow throated Vireo |
About the Author of BirdWatch
The BirdWatch Application, as well as the BirdWatch Blog, is created an maintained by Thimira Amaratunga.
Thimira Amaratunga is an inventor, software architect, researcher in machine learning and computer vision, author, and an armature photographer.
- Website: Codes of Interest
- LinkedIn: Thimira Amaratunga
- Amazon Author Page: Thimira Amaratunga
- GitHub: github.com/Thimira
- Twitter: @thimira42
Thimira is also the author of Codes of Interest, a website dedicated to sharing knowledge on Deep Learning, AI, and Computer Vision topics.
Thimira's Publications
Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft WindowsLearn to build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows.
Build Deeper: The Path to Deep Learning
Build Deeper is a complete and practical guide that can help you take the first few steps in deep learning. It will guide you step-by-step, from understanding the basic concepts, to building your first practical application.
Build Deeper is a complete and practical guide that can help you take the first few steps in deep learning. It will guide you step-by-step, from understanding the basic concepts, to building your first practical application.
Info:
- As this is a beta release, the system is still limited. Therefore, miss-identification of images are still possible.
- Over time, as we train the system further, the accuracy will get better, and the miss-classifications will reduce.
- We will not store any of the images you upload. The images are discarded as soon as the classification is made.
- The code of this application is publicly available at GitHub. Feel free to go through the code, and suggest improvements.